AirCopBench / test /Real2_VQA_test.json
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[ {
"sequence_frame": "23-00000022",
"question_id": "MDMT_OB_UAV2_001",
"question_type": "Object Grounding",
"question": "Where is the white van located relative to the white truck in this scene?",
"options": {
"A": "The white van is in the same lane as the white truck but ahead of it",
"B": "The white van is in a different lane and further to the left than the white truck",
"C": "The white van is directly behind the white truck in the same lane",
"D": "The white van is on the opposite side of the road from the white truck"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000022-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000022-UAV2.jpg"
}
},
{
"sequence_frame": "64-00000450",
"question_id": "MDMT_OB_UNKNOWN_002",
"question_type": "Observing Posture",
"question": "Which UAV perspective better illustrates the orientation of the yellow bus relative to the crosswalk?",
"options": {
"A": "UAV1, as it shows the bus directly aligned with the crosswalk",
"B": "UAV2, as it provides a clearer view of the bus's angle to the crosswalk",
"C": "Both perspectives show the same orientation clearly",
"D": "Neither perspective adequately shows the bus's orientation"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/64-00000450-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/64-00000450-UAV2.jpg"
}
},
{
"sequence_frame": "69-00000220",
"question_id": "MDMT_OB_UAV1_003",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?",
"options": {
"A": "81",
"B": "76",
"C": "79",
"D": "78"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/69-00000220-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/69-00000220-UAV2.jpg"
}
},
{
"sequence_frame": "65-00000700",
"question_id": "MDMT_US_UAV2_004",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV2 usable for target perception tasks?",
"options": {
"A": "Yes, barely usable",
"B": "Yes, usable",
"C": "No, not usable",
"D": "Yes, highly usable"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/65-00000700-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/65-00000700-UAV2.jpg"
}
},
{
"sequence_frame": "25-00000075",
"question_id": "MDMT_WH_UAV2_005",
"question_type": "What to Collaborate",
"question": "What specific scene context information should UAV2 share with UAV1 to enhance traffic flow understanding?",
"options": {
"A": "Details of the nearby construction site activity",
"B": "The target is too small, and it is blocked.",
"C": "Condition of the roadside greenery and pathways",
"D": "Visibility of the water body adjacent to the road"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/25-00000075-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/25-00000075-UAV2.jpg"
}
},
{
"sequence_frame": "25-00000150",
"question_id": "MDMT_US_UAV1_006",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV1 usable for target perception tasks?",
"options": {
"A": "No, not usable",
"B": "Yes, highly usable",
"C": "Yes, partially usable",
"D": "Yes, usable"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/25-00000150-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/25-00000150-UAV2.jpg"
}
},
{
"sequence_frame": "28-00000200",
"question_id": "MDMT_OB_UAV2_007",
"question_type": "Object Recognition",
"question": "What type of non-vehicle object is prominently visible on the pedestrian crossing?",
"options": {
"A": "A cyclist",
"B": "A pedestrian",
"C": "A streetlight",
"D": "A traffic sign"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/28-00000200-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/28-00000200-UAV2.jpg"
}
},
{
"sequence_frame": "53-00000399",
"question_id": "MDMT_CA_UAV2_008",
"question_type": "Causal Assessment",
"question": "What main factor might affect object detection in this scene?",
"options": {
"A": "Low contrast due to similar colors of vehicles and road",
"B": "Partial occlusion by other vehicles on the road",
"C": "High noise from image compression artifacts",
"D": "Overexposure due to bright sunlight"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/53-00000399-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/53-00000399-UAV2.jpg"
}
},
{
"sequence_frame": "44-00000180",
"question_id": "MDMT_OB_UAV1_009",
"question_type": "Object Recognition",
"question": "Which type of vehicle is most frequently observed in the parking lot?",
"options": {
"A": "SUVs",
"B": "Compact cars",
"C": "Luxury sedans",
"D": "Pickup trucks"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/44-00000180-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/44-00000180-UAV2.jpg"
}
},
{
"sequence_frame": "29-00000134",
"question_id": "MDMT_OB_UAV2_010",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?",
"options": {
"A": "54",
"B": "58",
"C": "55",
"D": "57"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/29-00000134-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/29-00000134-UAV2.jpg"
}
},
{
"sequence_frame": "32-00000550",
"question_id": "MDMT_OB_UNKNOWN_011",
"question_type": "Object Matching",
"question": "Which object in UAV2 corresponds to the teal car approaching the intersection in UAV1?",
"options": {
"A": "The teal car now seen further down the road, moving away from the intersection in UAV2",
"B": "The white car positioned near the center of the intersection in UAV2",
"C": "The teal car now stopped at the intersection in UAV2",
"D": "The black car turning right at the intersection in UAV2"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/32-00000550-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/32-00000550-UAV2.jpg"
}
},
{
"sequence_frame": "29-00000450",
"question_id": "MDMT_CA_UAV1_012",
"question_type": "Causal Assessment",
"question": "What is the primary cause of reduced visibility in this image?",
"options": {
"A": "Shadowing due to overhead structures",
"B": "Dim lighting conditions affecting clarity",
"C": "Occlusion by large vehicles blocking view",
"D": "Motion blur from fast-moving objects"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/29-00000450-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/29-00000450-UAV2.jpg"
}
},
{
"sequence_frame": "64-00000700",
"question_id": "MDMT_US_UAV1_013",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV1 usable for target perception tasks?",
"options": {
"A": "No, not usable",
"B": "Yes, usable",
"C": "Yes, highly usable",
"D": "Yes, barely usable"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/64-00000700-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/64-00000700-UAV2.jpg"
}
},
{
"sequence_frame": "69-00000403",
"question_id": "MDMT_WH_UAV2_014",
"question_type": "Why to Collaborate",
"question": "Why should UAV2 collaborate with another UAV?",
"options": {
"A": "The target is too small, and it is blocked.",
"B": "To capture a wider geographical area for comprehensive mapping",
"C": "To increase the speed of data transmission between UAVs",
"D": "To reduce battery consumption by sharing tasks"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/69-00000403-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/69-00000403-UAV2.jpg"
}
},
{
"sequence_frame": "63-00000279",
"question_id": "MDMT_US_UAV1_015",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV1 usable for target perception tasks?",
"options": {
"A": "Yes, usable",
"B": "No, not usable",
"C": "Yes, barely usable",
"D": "Yes, partially usable"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/63-00000279-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/63-00000279-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_what2col_UAV2_11",
"question_id": "MDMT_WH_UAV2_016",
"question_type": "What to Collaborate",
"question": "What specific scene context information should UAV2 share with UAV1 to enhance traffic flow understanding?",
"options": {
"A": "Details of the grassy area beside the road",
"B": "Presence and movement of the red vehicle on the sidewalk",
"C": "The exact speed of vehicles in its view",
"D": "Lane usage and vehicle distribution across lanes"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000037-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000037-UAV2-noise.jpg"
}
},
{
"sequence_frame": "MDMT_when2col_UAV1_97",
"question_id": "MDMT_WH_UAV1_017",
"question_type": "When to Collaborate",
"question": "Should UAV1 collaborate with another UAV to address need for collaboration due to incomplete information?",
"options": {
"A": "Yes, due to partial occlusion of key objects",
"B": "No, the scene is fully visible",
"C": "Yes, due to poor visibility of the objects",
"D": "No, all objects are clearly captured"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000667-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000667-UAV2-noise.jpg"
}
},
{
"sequence_frame": "64-00000620",
"question_id": "MDMT_OB_UAV1_018",
"question_type": "Object Grounding",
"question": "Which vehicle is positioned directly opposite the yellow bus across the intersection?",
"options": {
"A": "The red car near the left edge of the image",
"B": "The white car approaching the intersection from the bottom",
"C": "The black car in the middle lane",
"D": "The teal car on the far right"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/64-00000620-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/64-00000620-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_CA_UAV2_10",
"question_id": "MDMT_CA_UAV2_019",
"question_type": "Causal Assessment",
"question": "What main factor might affect object detection in this scene?",
"options": {
"A": "High noise from environmental conditions",
"B": "Occlusion by large vehicles",
"C": "Low resolution due to distance",
"D": "Overexposure from bright lighting"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000067-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000067-UAV2-noise.jpg"
}
},
{
"sequence_frame": "29-00000593",
"question_id": "MDMT_US_UAV1_020",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV1 usable for target perception tasks?",
"options": {
"A": "Yes, barely usable",
"B": "Yes, partially usable",
"C": "Yes, usable",
"D": "Yes, highly usable"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/29-00000593-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/29-00000593-UAV2.jpg"
}
},
{
"sequence_frame": "76-00000420",
"question_id": "MDMT_SC_UAV2_021",
"question_type": "Scene Description",
"question": "How do the vehicles at the intersection interact with the pedestrian crossing?",
"options": {
"A": "There are no people on the zebra crossing.",
"B": "Vehicles are moving through the intersection without stopping",
"C": "Vehicles are parked along the side, not interacting with the crossing",
"D": "Vehicles are turning in a way that avoids the pedestrian crossing"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/76-00000420-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/76-00000420-UAV2.jpg"
}
},
{
"sequence_frame": "25-00000150",
"question_id": "MDMT_WH_UAV2_022",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV2 collaborate with for collaboration partner for complementary perspective?",
"options": {
"A": "UAV1",
"B": "None (no need for collaboration)",
"C": "A ground-based sensor",
"D": "None (no suitable collaboration partner)"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/25-00000150-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/25-00000150-UAV2.jpg"
}
},
{
"sequence_frame": "42-00000260",
"question_id": "MDMT_WH_UAV2_023",
"question_type": "What to Collaborate",
"question": "What specific scene context information should UAV2 share with UAV1 to enhance traffic flow understanding?",
"options": {
"A": "Details of the parked vehicles along the side of the road",
"B": "Movement patterns of pedestrians near the parking area",
"C": "Traffic flow on the opposite side of the road not visible to UAV1",
"D": "Presence and status of traffic signals at intersections"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/42-00000260-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/42-00000260-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000076",
"question_id": "MDMT_WH_UAV2_024",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV2 collaborate with for collaboration partner for complementary perspective?",
"options": {
"A": "None",
"B": "UAV1",
"C": "A ground-based sensor",
"D": "UAV1"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000076-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000076-UAV2.jpg"
}
},
{
"sequence_frame": "50-00000333",
"question_id": "MDMT_SC_UAV2_025",
"question_type": "Scene Description",
"question": "How are the lanes on the main road organized in relation to the central divider?",
"options": {
"A": "Lanes are symmetrical with equal numbers on both sides of the divider",
"B": "More lanes are present on the left side compared to the right side",
"C": "The divider is absent, allowing free movement across lanes",
"D": "Lanes are arranged in a staggered pattern around the divider"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/50-00000333-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/50-00000333-UAV2.jpg"
}
},
{
"sequence_frame": "30-00000199",
"question_id": "MDMT_SC_UAV1_026",
"question_type": "Scene Description",
"question": "How are the parking areas arranged relative to the main roads in this scene?",
"options": {
"A": "Parking areas are located between the two main roads",
"B": "Parking areas are situated parallel to the main roads on both sides",
"C": "Parking areas are positioned perpendicular to the main roads",
"D": "Parking areas are integrated within the central median"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/30-00000199-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/30-00000199-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000319",
"question_id": "MDMT_WH_UAV1_027",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV1 collaborate with for collaboration partner for complementary perspective?",
"options": {
"A": "None",
"B": "UAV2",
"C": "A ground-based sensor",
"D": "UAV1"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000319-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000319-UAV2.jpg"
}
},
{
"sequence_frame": "28-00000013",
"question_id": "MDMT_SC_UAV2_028",
"question_type": "Scene Description",
"question": "How are the parking areas with red ground spatially arranged relative to the main road in this scene?",
"options": {
"A": "Parking areas are located directly adjacent to the main road on both sides",
"B": "Parking areas are situated parallel to the main road but separated by green spaces",
"C": "Parking areas are positioned perpendicular to the main road, intersecting it",
"D": "Parking areas are absent from the scene"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/28-00000013-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/28-00000013-UAV2.jpg"
}
},
{
"sequence_frame": "29-00000450",
"question_id": "MDMT_WH_UAV1_029",
"question_type": "When to Collaborate",
"question": "Should UAV1 collaborate with another UAV to address need for collaboration due to incomplete information?",
"options": {
"A": "Yes, due to partial occlusion of key objects",
"B": "No, the scene is fully visible",
"C": "Yes, due to poor visibility of the objects",
"D": "No, all objects are clearly captured"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/29-00000450-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/29-00000450-UAV2.jpg"
}
},
{
"sequence_frame": "28-00000060",
"question_id": "MDMT_SC_UAV1_030",
"question_type": "Scene Description",
"question": "How do the pedestrians interact with the vehicles at the crosswalk in this scene?",
"options": {
"A": "Pedestrians are crossing while vehicles are stopped, ensuring safety",
"B": "Pedestrians are waiting at the curb as vehicles pass through the intersection",
"C": "Pedestrians and vehicles are moving simultaneously without any apparent interaction",
"D": "There are no pedestrians present in the scene"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/28-00000060-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/28-00000060-UAV2.jpg"
}
},
{
"sequence_frame": "32-00000690",
"question_id": "MDMT_WH_UAV1_031",
"question_type": "What to Collaborate",
"question": "What specific scene context information should UAV1 share with UAV2 to enhance traffic flow analysis?",
"options": {
"A": "Details of the parked cars along the side roads",
"B": "Patterns of vehicle movement in the central lanes",
"C": "Presence and movement of pedestrians on sidewalks",
"D": "Condition of the road surface and markings"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/32-00000690-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/32-00000690-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_QA_UAV1_194",
"question_id": "MDMT_QU_UAV1_032",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?",
"options": {
"A": "5",
"B": "2",
"C": "1",
"D": "3"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000700-UAV1-loss.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000700-UAV2-loss.jpg"
}
},
{
"sequence_frame": "30-00000250",
"question_id": "MDMT_WH_UAV1_033",
"question_type": "What to Collaborate",
"question": "What specific scene context information should UAV1 share with UAV2 to enhance overall traffic monitoring?",
"options": {
"A": "Details of the parked cars along the sides of the road",
"B": "Traffic flow patterns on the multi-lane road",
"C": "Presence and movement of pedestrians near the sidewalks",
"D": "Condition of the road surface and lane markings"
},
"correct_answer": "AB",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/30-00000250-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/30-00000250-UAV2.jpg"
}
},
{
"sequence_frame": "28-00000317",
"question_id": "MDMT_WH_UAV1_034",
"question_type": "Why to Collaborate",
"question": "Why should UAV1 collaborate with another UAV based on the provided images?",
"options": {
"A": "To overcome object occlusion and gain a complete view of the scene.",
"B": "To enhance image clarity and reduce noise interference.",
"C": "To capture targets that are too small or distant in the current perspective.",
"D": "To provide a different angle that may include out-of-view elements."
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/28-00000317-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/28-00000317-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_who2col_UAV2_84",
"question_id": "MDMT_WH_UAV2_035",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV2 collaborate with for collaboration partner for specific object data?",
"options": {
"A": "UAV1",
"B": "None (no need for collaboration)",
"C": "A ground-based sensor",
"D": "None (no suitable collaboration partner)"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000460-UAV1-loss.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000460-UAV2-loss.jpg"
}
},
{
"sequence_frame": "23-00000059",
"question_id": "MDMT_US_UAV1_036",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV1 usable for target perception tasks?",
"options": {
"A": "No, not usable",
"B": "Yes, partially usable",
"C": "Yes, usable",
"D": "Yes, barely usable"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000059-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000059-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_who2col_UAV1_91",
"question_id": "MDMT_WH_UAV1_037",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV1 collaborate with for collaboration partner for specific object data?",
"options": {
"A": "UAV2",
"B": "None (no need for collaboration)",
"C": "A ground-based sensor",
"D": "None (no suitable collaboration partner)"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000653-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000653-UAV2-noise.jpg"
}
},
{
"sequence_frame": "MDMT_who2col_UAV1_84",
"question_id": "MDMT_WH_UAV1_038",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV1 collaborate with for collaboration partner for complementary perspective?",
"options": {
"A": "None",
"B": "UAV2",
"C": "A ground-based sensor",
"D": "UAV1"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000460-UAV1-loss.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000460-UAV2-loss.jpg"
}
},
{
"sequence_frame": "39-00000301",
"question_id": "MDMT_WH_UAV1_039",
"question_type": "What to Collaborate",
"question": "What specific scene context information should UAV1 share with UAV2 to enhance traffic flow understanding?",
"options": {
"A": "Details of the parked cars along the side of the road",
"B": "Presence and movement of pedestrians on the sidewalk",
"C": "Real-time speed of vehicles in the lane",
"D": "Visibility conditions due to street lighting"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000301-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000301-UAV2.jpg"
}
},
{
"sequence_frame": "65-00000700",
"question_id": "MDMT_WH_UAV2_040",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV2 collaborate with for collaboration partner for specific object data?",
"options": {
"A": "UAV1",
"B": "None (no need for collaboration)",
"C": "A ground-based sensor",
"D": "None (no suitable collaboration partner)"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/65-00000700-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/65-00000700-UAV2.jpg"
}
},
{
"sequence_frame": "50-00000300",
"question_id": "MDMT_OB_UAV1_041",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?",
"options": {
"A": "25",
"B": "21",
"C": "24",
"D": "22"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/50-00000300-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/50-00000300-UAV2.jpg"
}
},
{
"sequence_frame": "74-00000220",
"question_id": "MDMT_OB_UAV2_042",
"question_type": "Object Grounding",
"question": "Where is the blue car located relative to the pedestrian crossing?",
"options": {
"A": "The blue car is approaching the pedestrian crossing from the north",
"B": "The blue car is stopped at the pedestrian crossing",
"C": "The blue car is moving away from the pedestrian crossing towards the south",
"D": "The blue car is parked on the side of the road near the pedestrian crossing"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/74-00000220-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/74-00000220-UAV2.jpg"
}
},
{
"sequence_frame": "74-00000330",
"question_id": "MDMT_OB_UAV1_043",
"question_type": "Object Recognition",
"question": "Which type of vehicle is distinctly visible near the center of the image, crossing the road?",
"options": {
"A": "A green taxi",
"B": "A red bus",
"C": "A white truck",
"D": "A blue motorcycle"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/74-00000330-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/74-00000330-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000665",
"question_id": "MDMT_US_UAV1_044",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV1 usable for target perception tasks?",
"options": {
"A": "Yes, barely usable",
"B": "Yes, highly usable",
"C": "No, not usable",
"D": "Yes, partially usable"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000665-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000665-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_QA_UAV2_21",
"question_id": "MDMT_QU_UAV2_045",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?",
"options": {
"A": "5",
"B": "1",
"C": "4",
"D": "2"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000037-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000037-UAV2-noise.jpg"
}
},
{
"sequence_frame": "23-00000046",
"question_id": "MDMT_SC_UAV1_046",
"question_type": "Scene Description",
"question": "How are the vehicles spatially arranged on the road in this scene?",
"options": {
"A": "Vehicles are evenly spaced in both lanes",
"B": "Vehicles are clustered in one lane while the other is empty",
"C": "Vehicles are parked along the side of the road",
"D": "Vehicles are moving in opposite directions in adjacent lanes"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000046-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000046-UAV2.jpg"
}
},
{
"sequence_frame": "32-00000676",
"question_id": "MDMT_CA_UAV1_047",
"question_type": "Causal Assessment",
"question": "What is the primary cause of reduced perception quality in this image?",
"options": {
"A": "Overexposure due to bright sunlight",
"B": "Motion blur from fast-moving vehicles",
"C": "Occlusion by surrounding buildings",
"D": "Low contrast due to overcast weather"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/32-00000676-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/32-00000676-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000054",
"question_id": "MDMT_OB_UAV2_048",
"question_type": "Object Recognition",
"question": "What type of non-vehicle object is visible near the center-right of the image?",
"options": {
"A": "A cyclist",
"B": "A pedestrian",
"C": "A streetlight",
"D": "A bench"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000054-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000054-UAV2.jpg"
}
},
{
"sequence_frame": "66-00000420",
"question_id": "MDMT_SC_UAV1_049",
"question_type": "Scene Description",
"question": "How do the vehicles on the road interact with the pedestrian areas in this scene?",
"options": {
"A": "Vehicles are stopped near pedestrian crossings, indicating potential interaction",
"B": "Vehicles are moving away from pedestrian areas, showing no immediate interaction",
"C": "Vehicles are parked along the side, not interacting with pedestrian areas",
"D": "Vehicles are driving through pedestrian areas, suggesting unsafe interaction"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/66-00000420-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/66-00000420-UAV2.jpg"
}
},
{
"sequence_frame": "63-00000020",
"question_id": "MDMT_US_UAV2_050",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV2 usable for target perception tasks?",
"options": {
"A": "Yes, usable",
"B": "Yes, barely usable",
"C": "Yes, highly usable",
"D": "Yes, partially usable"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/63-00000020-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/63-00000020-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_OR_UAV2_21",
"question_id": "MDMT_OB_UAV2_051",
"question_type": "Object Recognition",
"question": "In the scene, what type of non-vehicle object is most likely to be a pedestrian?",
"options": {
"A": "A cyclist near the center of the road",
"B": "A person walking on the sidewalk",
"C": "The person at the intersection in the lower center of the picture.",
"D": "A runner in the crosswalk"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000075-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000075-UAV2-noise.jpg"
}
},
{
"sequence_frame": "51-00000250",
"question_id": "MDMT_QU_UAV1_052",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?",
"options": {
"A": "4",
"B": "1",
"C": "5",
"D": "3"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/51-00000250-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/51-00000250-UAV2.jpg"
}
},
{
"sequence_frame": "45-00000112",
"question_id": "MDMT_SC_UAV1_053",
"question_type": "Scene Description",
"question": "How do the vehicles and pedestrians interact at the crosswalks in this scene?",
"options": {
"A": "Vehicles are stopped, allowing pedestrians to cross safely",
"B": "Pedestrians are waiting at the corners, with no vehicles stopping",
"C": "Vehicles and pedestrians are moving simultaneously without interference",
"D": "There are no visible pedestrians or vehicles near the crosswalks"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/45-00000112-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/45-00000112-UAV2.jpg"
}
},
{
"sequence_frame": "65-00000500",
"question_id": "MDMT_QU_UAV1_054",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?",
"options": {
"A": "1",
"B": "4",
"C": "3",
"D": "5"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/65-00000500-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/65-00000500-UAV2.jpg"
}
},
{
"sequence_frame": "70-00000164",
"question_id": "MDMT_OB_UAV2_055",
"question_type": "Object Grounding",
"question": "Where is the large green landscaped area located relative to the multi-lane road?",
"options": {
"A": "The landscaped area is adjacent to the right side of the road",
"B": "The landscaped area is directly under the road",
"C": "The landscaped area is on the left side, separated by buildings",
"D": "The landscaped area is in the middle of the road"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/70-00000164-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/70-00000164-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000281",
"question_id": "MDMT_WH_UAV1_056",
"question_type": "What to Collaborate",
"question": "What specific object information should UAV1 share with UAV2 to improve perception?",
"options": {
"A": "Details of the red car's position and movement on the left lane",
"B": "Details of the pedestrian near the bottom center of the image",
"C": "Details of the greenery and park area on the right side",
"D": "Details of the parked cars along the sidewalk"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000281-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000281-UAV2.jpg"
}
},
{
"sequence_frame": "44-00000365",
"question_id": "MDMT_QU_UAV1_057",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?",
"options": {
"A": "1",
"B": "5",
"C": "3",
"D": "2"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/44-00000365-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/44-00000365-UAV2.jpg"
}
},
{
"sequence_frame": "45-00000010",
"question_id": "MDMT_WH_UAV2_058",
"question_type": "Why to Collaborate",
"question": "Why should UAV2 collaborate with another UAV?",
"options": {
"A": "To overcome object occlusion and gain a complete view of the scene",
"B": "To enhance image brightness and improve target visibility",
"C": "To capture targets that are out of its current field of view",
"D": "To provide a closer perspective on distant objects"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/45-00000010-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/45-00000010-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000060",
"question_id": "MDMT_WH_UAV2_059",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV2 collaborate with for collaboration partner for specific object data?",
"options": {
"A": "None",
"B": "UAV1",
"C": "A ground-based sensor",
"D": "UAV1"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000060-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000060-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_why2col_UAV1_89",
"question_id": "MDMT_WH_UAV1_060",
"question_type": "Why to Collaborate",
"question": "Why should UAV1 collaborate with another UAV?",
"options": {
"A": "To enhance visibility of targets under shadow conditions",
"B": "To capture a wider geographical area",
"C": "To increase the speed of data transmission",
"D": "To reduce power consumption during flight"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000460-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000460-UAV2-noise.jpg"
}
},
{
"sequence_frame": "58-00000120",
"question_id": "MDMT_WH_UAV1_061",
"question_type": "Why to Collaborate",
"question": "Why should UAV1 collaborate with another UAV in the given scenario?",
"options": {
"A": "To overcome object occlusion and gain a complete view of the scene",
"B": "To enhance image brightness and improve target visibility under shadow",
"C": "To capture targets that are out-of-view in the current perspective",
"D": "To provide a larger and more visible representation of distant objects"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/58-00000120-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/58-00000120-UAV2.jpg"
}
},
{
"sequence_frame": "54-00000570",
"question_id": "MDMT_OB_UNKNOWN_062",
"question_type": "Observing Posture",
"question": "Which UAV perspective better illustrates the relative positioning of the yellow bus in relation to the surrounding vehicles?",
"options": {
"A": "UAV1 provides a clearer view due to its direct overhead angle",
"B": "UAV2 provides a clearer view due to its angled perspective",
"C": "Both UAVs provide equally clear views of the bus's positioning",
"D": "Neither UAV clearly shows the bus's positioning relative to other vehicles"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/54-00000570-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/54-00000570-UAV2.jpg"
}
},
{
"sequence_frame": "45-00000050",
"question_id": "MDMT_OB_UNKNOWN_063",
"question_type": "Object Matching",
"question": "Which object in UAV2 corresponds to the dark gray car approaching the intersection from the left in UAV1?",
"options": {
"A": "The dark gray car now seen turning right at the intersection in UAV2",
"B": "The white car moving straight through the intersection in UAV2",
"C": "The dark gray car now seen approaching the intersection from the top in UAV2",
"D": "The black car parked on the right side of the road in UAV2"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/45-00000050-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/45-00000050-UAV2.jpg"
}
},
{
"sequence_frame": "66-00000700",
"question_id": "MDMT_OB_UAV1_064",
"question_type": "Object Recognition",
"question": "What type of non-vehicle object is prominently visible along the road's edge?",
"options": {
"A": "Street lamps",
"B": "Pedestrian barriers",
"C": "Traffic signs",
"D": "Bicycle racks"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/66-00000700-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/66-00000700-UAV2.jpg"
}
},
{
"sequence_frame": "28-00000013",
"question_id": "MDMT_OB_UAV1_065",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?",
"options": {
"A": "36",
"B": "37",
"C": "38",
"D": "35"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/28-00000013-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/28-00000013-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_CA_UAV1_9",
"question_id": "MDMT_CA_UAV1_066",
"question_type": "Causal Assessment",
"question": "What is the primary cause of reduced perception quality in this image?",
"options": {
"A": "Occlusion by large vehicles blocking smaller objects",
"B": "Motion blur from fast-moving vehicles",
"C": "Low resolution due to distant observation and noise",
"D": "Overexposure from bright sunlight"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000067-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000067-UAV2-noise.jpg"
}
},
{
"sequence_frame": "29-00000400",
"question_id": "MDMT_OB_UAV2_067",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?",
"options": {
"A": "76",
"B": "77",
"C": "74",
"D": "72"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/29-00000400-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/29-00000400-UAV2.jpg"
}
},
{
"sequence_frame": "74-00000330",
"question_id": "MDMT_OB_UAV2_068",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?",
"options": {
"A": "32",
"B": "35",
"C": "31",
"D": "34"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/74-00000330-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/74-00000330-UAV2.jpg"
}
},
{
"sequence_frame": "45-00000370",
"question_id": "MDMT_WH_UAV1_069",
"question_type": "When to Collaborate",
"question": "Should UAV1 collaborate with another UAV to address need for collaboration due to incomplete information?",
"options": {
"A": "Yes, due to partial occlusion of key objects",
"B": "No, the scene is fully visible",
"C": "Yes, due to poor visibility of the objects",
"D": "No, all objects are clearly captured"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/45-00000370-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/45-00000370-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000073",
"question_id": "MDMT_QU_UAV1_070",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?",
"options": {
"A": "4",
"B": "3",
"C": "5",
"D": "1"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000073-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000073-UAV2.jpg"
}
},
{
"sequence_frame": "25-00000005",
"question_id": "MDMT_WH_UAV2_071",
"question_type": "When to Collaborate",
"question": "Should UAV2 collaborate with another UAV to address need for collaboration due to environmental factors?",
"options": {
"A": "Yes, due to poor lighting conditions",
"B": "No, lighting is adequate",
"C": "Yes, due to low image resolution",
"D": "No, the environment is clear"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/25-00000005-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/25-00000005-UAV2.jpg"
}
},
{
"sequence_frame": "39-00000679",
"question_id": "MDMT_OB_UAV1_072",
"question_type": "Object Grounding",
"question": "What is the spatial relationship between the two individuals on the left and the lane markings?",
"options": {
"A": "The individuals are positioned between the lane markings and the road edge.",
"B": "The individuals are aligned with the lane markings, directly on them.",
"C": "The individuals are in the center of a lane, away from the lane markings.",
"D": "The individuals are outside the lane markings, near the road's edge."
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000679-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000679-UAV2.jpg"
}
},
{
"sequence_frame": "58-00000005",
"question_id": "MDMT_OB_UAV2_073",
"question_type": "Object Grounding",
"question": "Where is the white car with its headlights on located relative to the pedestrian crossing?",
"options": {
"A": "The car is approaching the pedestrian crossing from the left side",
"B": "The car is stationary at the far end of the pedestrian crossing",
"C": "The car is exiting the intersection beyond the pedestrian crossing",
"D": "The car is positioned inside the pedestrian crossing area"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/58-00000005-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/58-00000005-UAV2.jpg"
}
},
{
"sequence_frame": "58-00000120",
"question_id": "MDMT_SC_UAV2_074",
"question_type": "Scene Description",
"question": "How do the vehicles interact with the pedestrian crossing in this nighttime scene?",
"options": {
"A": "Vehicles are stopped before the crossing, indicating respect for pedestrian safety",
"B": "Vehicles are actively passing over the crossing, suggesting no pedestrians are present",
"C": "Vehicles are parked directly on the crossing, obstructing any pedestrian movement",
"D": "Vehicles are turning around the crossing, avoiding direct interaction"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/58-00000120-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/58-00000120-UAV2.jpg"
}
},
{
"sequence_frame": "58-00000210",
"question_id": "MDMT_OB_UAV2_075",
"question_type": "Object Grounding",
"question": "Which vehicle is positioned in the lane that allows it to make a right turn at the upcoming intersection?",
"options": {
"A": "The vehicle closest to the bottom of the image",
"B": "The vehicle directly under the streetlight",
"C": "The vehicle furthest from the center divider",
"D": "The vehicle second from the top of the image"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/58-00000210-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/58-00000210-UAV2.jpg"
}
},
{
"sequence_frame": "32-00000610",
"question_id": "MDMT_SC_UNKNOWN_076",
"question_type": "Scene Comparison",
"question": "What is a notable difference in the types of objects visible near the buildings between UAV1 and UAV2?",
"options": {
"A": "UAV2 shows more parked cars near the buildings",
"B": "UAV2 includes a fire truck near the buildings",
"C": "UAV1 has more bicycles near the buildings",
"D": "UAV2 shows fewer windows on the buildings"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/32-00000610-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/32-00000610-UAV2.jpg"
}
},
{
"sequence_frame": "28-00000045",
"question_id": "MDMT_SC_UNKNOWN_077",
"question_type": "Scene Comparison",
"question": "What is a notable difference in the types of objects visible near the road in UAV1 compared to UAV2?",
"options": {
"A": "UAV1 shows more trees near the road, while UAV2 shows more buildings.",
"B": "UAV1 shows a bus stop structure, which is absent in UAV2.",
"C": "UAV2 shows a parking lot with numerous cars, which is not visible in UAV1.",
"D": "UAV1 includes a pedestrian crossing sign, missing in UAV2."
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/28-00000045-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/28-00000045-UAV2.jpg"
}
},
{
"sequence_frame": "29-00000134",
"question_id": "MDMT_CA_UAV1_078",
"question_type": "Causal Assessment",
"question": "What is the primary cause of reduced perception quality in this image?",
"options": {
"A": "Occlusion by large trees along the road",
"B": "Motion blur from fast-moving vehicles",
"C": "Low resolution due to distant observation",
"D": "Overexposure from bright sunlight"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/29-00000134-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/29-00000134-UAV2.jpg"
}
},
{
"sequence_frame": "28-00000045",
"question_id": "MDMT_OB_UAV2_079",
"question_type": "Object Recognition",
"question": "What type of non-vehicle object is prominently visible near the pedestrian crossing?",
"options": {
"A": "A cyclist",
"B": "A pedestrian",
"C": "A streetlight",
"D": "A traffic sign"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/28-00000045-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/28-00000045-UAV2.jpg"
}
},
{
"sequence_frame": "32-00000401",
"question_id": "MDMT_WH_UAV2_080",
"question_type": "When to Collaborate",
"question": "Should UAV2 collaborate with another UAV to address need for collaboration due to incomplete information?",
"options": {
"A": "Yes, due to partial occlusion of key objects",
"B": "No, the scene is fully visible",
"C": "Yes, due to poor visibility of the objects",
"D": "No, all objects are clearly captured"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/32-00000401-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/32-00000401-UAV2.jpg"
}
},
{
"sequence_frame": "70-00000051",
"question_id": "MDMT_SC_UNKNOWN_081",
"question_type": "Scene Comparison",
"question": "How does the visibility of buildings differ between the two UAV perspectives?",
"options": {
"A": "UAV1 shows no buildings, while UAV2 shows detailed architectural features",
"B": "Both UAV1 and UAV2 show similar building details",
"C": "UAV1 provides a clearer view of the road, obscuring buildings",
"D": "UAV2 shows only the roof structures, while UAV1 shows the entire building facades"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/70-00000051-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/70-00000051-UAV2.jpg"
}
},
{
"sequence_frame": "66-00000570",
"question_id": "MDMT_SC_UNKNOWN_082",
"question_type": "Scene Comparison",
"question": "How does the visibility of the parking area differ between the two UAV perspectives?",
"options": {
"A": "UAV1 shows a more detailed view of the parking area with clearer vehicle outlines",
"B": "UAV2 provides a broader view of the parking area, revealing additional parked vehicles",
"C": "Both UAV1 and UAV2 show identical details of the parking area",
"D": "UAV1 obscures the parking area with shadows, while UAV2 does not"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/66-00000570-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/66-00000570-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_when2col_UAV1_99",
"question_id": "MDMT_WH_UAV1_083",
"question_type": "When to Collaborate",
"question": "Should UAV1 collaborate with another UAV to address need for collaboration due to environmental factors?",
"options": {
"A": "Yes, due to poor lighting conditions",
"B": "yes, image loss",
"C": "Yes, due to low image resolution",
"D": "No, the environment is clear"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000680-UAV1-loss.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000680-UAV2-loss.jpg"
}
},
{
"sequence_frame": "58-00000120",
"question_id": "MDMT_WH_UAV2_084",
"question_type": "What to Collaborate",
"question": "What specific object information should UAV2 share with UAV1 to improve perception?",
"options": {
"A": "Details of the vehicles approaching from the opposite direction",
"B": "Details of the road's lane markings",
"C": "Details of the traffic light status at the intersection",
"D": "Details of the surrounding trees and foliage"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/58-00000120-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/58-00000120-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000059",
"question_id": "MDMT_QU_UAV2_085",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?",
"options": {
"A": "4",
"B": "5",
"C": "3",
"D": "2"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000059-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000059-UAV2.jpg"
}
},
{
"sequence_frame": "63-00000100",
"question_id": "MDMT_OB_UAV2_086",
"question_type": "Object Recognition",
"question": "Which type of vehicle is most frequently observed at the intersection?",
"options": {
"A": "Sedans",
"B": "Buses",
"C": "Trucks",
"D": "Motorcycles"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/63-00000100-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/63-00000100-UAV2.jpg"
}
},
{
"sequence_frame": "42-00000300",
"question_id": "MDMT_WH_UAV2_087",
"question_type": "When to Collaborate",
"question": "Should UAV2 collaborate with another UAV to address need for collaboration due to environmental factors?",
"options": {
"A": "Yes, due to poor lighting conditions",
"B": "No, lighting is adequate",
"C": "Yes, due to low image resolution",
"D": "No, the environment is clear"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/42-00000300-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/42-00000300-UAV2.jpg"
}
},
{
"sequence_frame": "27-00000573",
"question_id": "MDMT_WH_UAV1_088",
"question_type": "When to Collaborate",
"question": "Should UAV1 collaborate with another UAV to address need for collaboration due to incomplete information?",
"options": {
"A": "Yes, due to partial occlusion of key objects",
"B": "No, the scene is fully visible",
"C": "Yes, due to poor visibility of the objects",
"D": "No, all objects are clearly captured"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/27-00000573-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/27-00000573-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_what2col_UAV2_7",
"question_id": "MDMT_WH_UAV2_089",
"question_type": "What to Collaborate",
"question": "What specific object information should UAV2 share with UAV1 to improve perception?",
"options": {
"A": "Details of the white vehicles' positions and movements",
"B": "Details of the parked cars on the left side",
"C": "Details of the grassy area and trees",
"D": "Details of the pedestrian pathways"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000027-UAV1-loss.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000027-UAV2-loss.jpg"
}
},
{
"sequence_frame": "30-00000320",
"question_id": "MDMT_OB_UAV2_090",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?",
"options": {
"A": "114",
"B": "119",
"C": "117",
"D": "118"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/30-00000320-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/30-00000320-UAV2.jpg"
}
},
{
"sequence_frame": "65-00000400",
"question_id": "MDMT_WH_UAV2_091",
"question_type": "Why to Collaborate",
"question": "Why should UAV2 collaborate with another UAV?",
"options": {
"A": "To overcome object occlusion and provide a complete view.",
"B": "To enhance the visibility of objects under shadow conditions.",
"C": "To capture targets that are too small or distant in the current view.",
"D": "To fill in information gaps due to out-of-view targets."
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/65-00000400-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/65-00000400-UAV2.jpg"
}
},
{
"sequence_frame": "42-00000300",
"question_id": "MDMT_CA_UAV2_092",
"question_type": "Causal Assessment",
"question": "What main factor might affect object detection in this scene?",
"options": {
"A": "Low contrast due to uniform lighting",
"B": "Small Target",
"C": "Motion blur from moving vehicles",
"D": "High noise levels from image capture"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/42-00000300-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/42-00000300-UAV2.jpg"
}
},
{
"sequence_frame": "69-00000700",
"question_id": "MDMT_OB_UAV1_093",
"question_type": "Object Recognition",
"question": "Which type of vehicle is predominantly featured in the center lane of this aerial view?",
"options": {
"A": "A compact hatchback",
"B": "A large SUV",
"C": "A sedan",
"D": "A minivan"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/69-00000700-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/69-00000700-UAV2.jpg"
}
},
{
"sequence_frame": "45-00000200",
"question_id": "MDMT_OB_UAV1_094",
"question_type": "Object Recognition",
"question": "What type of non-vehicle object is most prominently visible near the pedestrian crossing?",
"options": {
"A": "A cyclist",
"B": "A pedestrian",
"C": "A streetlight",
"D": "A traffic sign"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/45-00000200-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/45-00000200-UAV2.jpg"
}
},
{
"sequence_frame": "25-00000370",
"question_id": "MDMT_SC_UNKNOWN_095",
"question_type": "Scene Comparison",
"question": "What is the primary difference in the types of objects visible near the road between UAV1 and UAV2?",
"options": {
"A": "UAV1 shows a construction site, while UAV2 does not",
"B": "UAV2 shows more parked cars along the sidewalk",
"C": "UAV1 includes a large water body, which is absent in UAV2",
"D": "UAV2 displays more traffic lights than UAV1"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/25-00000370-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/25-00000370-UAV2.jpg"
}
},
{
"sequence_frame": "25-00000493",
"question_id": "MDMT_WH_UAV1_096",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV1 collaborate with for collaboration partner for specific object data?",
"options": {
"A": "None",
"B": "UAV1",
"C": "A ground-based sensor",
"D": "UAV1"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/25-00000493-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/25-00000493-UAV2.jpg"
}
},
{
"sequence_frame": "63-00000420",
"question_id": "MDMT_OB_UAV2_097",
"question_type": "Object Recognition",
"question": "What type of non-vehicle object is most prominently visible near the center-right of the image?",
"options": {
"A": "A pedestrian",
"B": "A cyclist",
"C": "A streetlight",
"D": "A traffic sign"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/63-00000420-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/63-00000420-UAV2.jpg"
}
},
{
"sequence_frame": "53-00000680",
"question_id": "MDMT_WH_UAV1_098",
"question_type": "What to Collaborate",
"question": "What specific object information should UAV1 share with UAV2 to improve perception?",
"options": {
"A": "Details of the red car's position and movement",
"B": "Details of the large truck carrying a load",
"C": "Details of the road's lane markings",
"D": "Details of the surrounding greenery"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/53-00000680-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/53-00000680-UAV2.jpg"
}
},
{
"sequence_frame": "28-00000045",
"question_id": "MDMT_OB_UAV1_099",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?",
"options": {
"A": "35",
"B": "33",
"C": "30",
"D": "36"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/28-00000045-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/28-00000045-UAV2.jpg"
}
},
{
"sequence_frame": "30-00000112",
"question_id": "MDMT_OB_UNKNOWN_100",
"question_type": "Object Matching",
"question": "Which object in UAV2 corresponds to the pedestrian crossing the road near the center of UAV1's view?",
"options": {
"A": "The pedestrian now walking along the sidewalk in UAV2",
"B": "The cyclist riding near the road edge in UAV2",
"C": "The pedestrian standing near a parked car in UAV2",
"D": "The pedestrian crossing the road near a traffic light in UAV2"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/30-00000112-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/30-00000112-UAV2.jpg"
}
},
{
"sequence_frame": "27-00000512",
"question_id": "MDMT_WH_UAV2_101",
"question_type": "What to Collaborate",
"question": "What specific information should UAV2 share with UAV1 to enhance the understanding of traffic flow?",
"options": {
"A": "Details of the residential buildings near the road",
"B": "Presence and movement of vehicles approaching from the far end of the road",
"C": "The condition of the trees along the roadside",
"D": "The color and type of vehicles currently on the road"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/27-00000512-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/27-00000512-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000079",
"question_id": "MDMT_SC_UAV2_102",
"question_type": "Scene Description",
"question": "How do the vehicles and pedestrians interact in this scene?",
"options": {
"A": "Vehicles are stopped to allow pedestrians to cross the road",
"B": "Pedestrians are walking alongside moving vehicles on the sidewalk",
"C": "Pedestrians are crossing between lanes of moving traffic",
"D": "There is no interaction; vehicles and pedestrians are in separate areas"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000079-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000079-UAV2.jpg"
}
},
{
"sequence_frame": "69-00000137",
"question_id": "MDMT_OB_UAV2_103",
"question_type": "Object Grounding",
"question": "Where is the first green car located relative to the pedestrian crossing?",
"options": {
"A": "The white car is approaching the pedestrian crossing from the north",
"B": "The white car is stationary at the pedestrian crossing",
"C": "The white car is moving away from the pedestrian crossing towards the south",
"D": "The white car is parked on the side of the road near the pedestrian crossing"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/69-00000137-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/69-00000137-UAV2.jpg"
}
},
{
"sequence_frame": "25-00000125",
"question_id": "MDMT_OB_UAV2_104",
"question_type": "Object Recognition",
"question": "What type of non-vehicle object is prominently visible in the landscaped area?",
"options": {
"A": "A pedestrian pathway",
"B": "A cyclist lane",
"C": "A water fountain",
"D": "A sports field"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/25-00000125-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/25-00000125-UAV2.jpg"
}
},
{
"sequence_frame": "58-00000255",
"question_id": "MDMT_OB_UNKNOWN_105",
"question_type": "Observing Posture",
"question": "Which UAV perspective better illustrates the orientation of the road's lane markings relative to the observer?",
"options": {
"A": "UAV1, as it provides a direct top-down view emphasizing lane alignment",
"B": "UAV2, as it offers a diagonal view highlighting lane directionality",
"C": "Both perspectives equally illustrate lane orientation",
"D": "Neither perspective clearly shows lane orientation"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/58-00000255-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/58-00000255-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000022",
"question_id": "MDMT_SC_UAV1_106",
"question_type": "Scene Description",
"question": "How do the vehicles on the road interact with the pedestrian on the sidewalk in this scene?",
"options": {
"A": "Vehicles are stopped to allow the pedestrian to cross the road",
"B": "Vehicles are moving away from the pedestrian, showing no interaction",
"C": "Vehicles are approaching the pedestrian, indicating potential interaction",
"D": "Vehicles are parked, and the pedestrian is walking parallel to them on the sidewalk"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000022-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000022-UAV2.jpg"
}
},
{
"sequence_frame": "44-00000480",
"question_id": "MDMT_US_UAV2_107",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV2 usable for target perception tasks?",
"options": {
"A": "Yes, partially usable",
"B": "Yes, usable",
"C": "Yes, barely usable",
"D": "Yes, highly usable"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/44-00000480-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/44-00000480-UAV2.jpg"
}
},
{
"sequence_frame": "29-00000100",
"question_id": "MDMT_CA_UAV2_108",
"question_type": "Causal Assessment",
"question": "What is the primary cause of reduced visibility for smaller objects in this image?",
"options": {
"A": "High levels of image noise",
"B": "Occlusion by larger vehicles",
"C": "Low resolution affecting detail perception",
"D": "Overexposure from bright lighting"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/29-00000100-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/29-00000100-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_when2col_UAV2_100",
"question_id": "MDMT_WH_UAV2_109",
"question_type": "When to Collaborate",
"question": "Should UAV2 collaborate with another UAV to address need for collaboration due to incomplete information?",
"options": {
"A": "Yes, due to partial occlusion of key objects",
"B": "No, the scene is fully visible",
"C": "Yes, due to poor visibility of the objects",
"D": "No, all objects are clearly captured"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000680-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000680-UAV2-noise.jpg"
}
},
{
"sequence_frame": "70-00000248",
"question_id": "MDMT_OB_UAV1_110",
"question_type": "Object Recognition",
"question": "Which type of vehicle is distinctly visible in the center lane of the road?",
"options": {
"A": "A blue sedan",
"B": "A red truck",
"C": "A green bus",
"D": "A white van"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/70-00000248-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/70-00000248-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000319",
"question_id": "MDMT_OB_UNKNOWN_111",
"question_type": "Object Matching",
"question": "Which object in UAV2 corresponds to the red vehicle moving along the right lane in UAV1?",
"options": {
"A": "The red vehicle now stationary near a tree in UAV2",
"B": "The red vehicle now positioned at the center of the road in UAV2",
"C": "The red vehicle now parked in the designated parking area in UAV2",
"D": "The red vehicle now stopped at an intersection in UAV2"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000319-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000319-UAV2.jpg"
}
},
{
"sequence_frame": "45-00000112",
"question_id": "MDMT_WH_UAV2_112",
"question_type": "Why to Collaborate",
"question": "Why should UAV2 collaborate with another UAV?",
"options": {
"A": "To overcome object occlusion and provide a complete view of the scene",
"B": "To enhance the visibility of objects that are under shadow in the current view",
"C": "To capture targets that are too small or distant in the current perspective",
"D": "To ensure all areas are covered, including those out of the current field of view"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/45-00000112-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/45-00000112-UAV2.jpg"
}
},
{
"sequence_frame": "76-00000420",
"question_id": "MDMT_SC_UNKNOWN_113",
"question_type": "Scene Comparison",
"question": "What is the primary difference in the types of vehicles visible between UAV1 and UAV2?",
"options": {
"A": "UAV1 shows more buses, while UAV2 shows more cars",
"B": "UAV1 shows a mix of cars and trucks, while UAV2 includes buses",
"C": "UAV1 shows only cars, while UAV2 shows bicycles",
"D": "UAV1 shows more motorcycles, while UAV2 shows fewer vehicles overall"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/76-00000420-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/76-00000420-UAV2.jpg"
}
},
{
"sequence_frame": "51-00000280",
"question_id": "MDMT_OB_UAV1_114",
"question_type": "Object Recognition",
"question": "What type of road marking is prominently visible in the lower left corner of the image?",
"options": {
"A": "A pedestrian crossing",
"B": "A speed bump",
"C": "A lane divider",
"D": "A stop line"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/51-00000280-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/51-00000280-UAV2.jpg"
}
},
{
"sequence_frame": "32-00000676",
"question_id": "MDMT_WH_UAV1_115",
"question_type": "When to Collaborate",
"question": "Should UAV1 collaborate with another UAV to address need for collaboration due to environmental factors?",
"options": {
"A": "Yes, due to poor lighting conditions",
"B": "No, lighting is adequate",
"C": "Yes, due to low image resolution",
"D": "No, the environment is clear"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/32-00000676-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/32-00000676-UAV2.jpg"
}
},
{
"sequence_frame": "32-00000700",
"question_id": "MDMT_OB_UAV2_116",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?",
"options": {
"A": "102",
"B": "98",
"C": "100",
"D": "99"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/32-00000700-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/32-00000700-UAV2.jpg"
}
},
{
"sequence_frame": "39-00000603",
"question_id": "MDMT_OB_UAV1_117",
"question_type": "Object Recognition",
"question": "Which type of vehicle is prominently visible on the right side of the road in this nighttime scene?",
"options": {
"A": "A motorcycle",
"B": "A bicycle",
"C": "A sedan",
"D": "A truck"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000603-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000603-UAV2.jpg"
}
},
{
"sequence_frame": "64-00000575",
"question_id": "MDMT_US_UAV1_118",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV1 usable for target perception tasks?",
"options": {
"A": "No, not usable",
"B": "Yes, barely usable",
"C": "Yes, usable",
"D": "Yes, partially usable"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/64-00000575-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/64-00000575-UAV2.jpg"
}
},
{
"sequence_frame": "44-00000220",
"question_id": "MDMT_OB_UAV1_119",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?",
"options": {
"A": "40",
"B": "42",
"C": "38",
"D": "39"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/44-00000220-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/44-00000220-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_who2col_UAV1_96",
"question_id": "MDMT_WH_UAV1_120",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV1 collaborate with for collaboration partner for specific object data?",
"options": {
"A": "UAV2",
"B": "None (no need for collaboration)",
"C": "A ground-based sensor",
"D": "None (no suitable collaboration partner)"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000680-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000680-UAV2-noise.jpg"
}
},
{
"sequence_frame": "27-00000618",
"question_id": "MDMT_OB_UAV2_121",
"question_type": "Object Recognition",
"question": "Which type of vehicle is predominantly seen parked along the roadside in this aerial view?",
"options": {
"A": "SUVs",
"B": "Compact cars",
"C": "Trucks",
"D": "Buses"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/27-00000618-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/27-00000618-UAV2.jpg"
}
},
{
"sequence_frame": "69-00000550",
"question_id": "MDMT_WH_UAV2_122",
"question_type": "Why to Collaborate",
"question": "Why should UAV2 collaborate with another UAV?",
"options": {
"A": "To overcome object occlusion and provide a complete view.",
"B": "To enhance the visibility of objects under shadow conditions.",
"C": "To capture targets that are too small or distant in the current view.",
"D": "To fill in information gaps due to out-of-view targets."
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/69-00000550-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/69-00000550-UAV2.jpg"
}
},
{
"sequence_frame": "50-00000300",
"question_id": "MDMT_OB_UAV1_123",
"question_type": "Object Grounding",
"question": "Which vehicle is positioned in the lane directly adjacent to the large truck carrying logs?",
"options": {
"A": "The red car on the far left",
"B": "The white car immediately to the right of the truck",
"C": "The dark-colored car behind the truck",
"D": "The white car in front of the truck"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/50-00000300-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/50-00000300-UAV2.jpg"
}
},
{
"sequence_frame": "39-00000325",
"question_id": "MDMT_WH_UAV1_124",
"question_type": "Why to Collaborate",
"question": "Why should UAV1 collaborate with another UAV?",
"options": {
"A": "To overcome object occlusion and gain a complete view of the scene",
"B": "To enhance image brightness and improve target visibility",
"C": "To capture targets that are out of its current field of view",
"D": "To provide a closer perspective on distant objects"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000325-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000325-UAV2.jpg"
}
},
{
"sequence_frame": "64-00000620",
"question_id": "MDMT_US_UAV1_125",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV1 usable for target perception tasks?",
"options": {
"A": "Yes, partially usable",
"B": "No, not usable",
"C": "Yes, barely usable",
"D": "Yes, usable"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/64-00000620-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/64-00000620-UAV2.jpg"
}
},
{
"sequence_frame": "29-00000100",
"question_id": "MDMT_WH_UAV2_126",
"question_type": "What to Collaborate",
"question": "What specific scene context information should UAV2 share with UAV1 to enhance traffic flow understanding?",
"options": {
"A": "Details of the parked cars along the side of the road",
"B": "Movement patterns of vehicles in the opposite direction",
"C": "Presence and movement of pedestrians on the sidewalks",
"D": "Condition of the road surface and lane markings"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/29-00000100-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/29-00000100-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000319",
"question_id": "MDMT_OB_UNKNOWN_127",
"question_type": "Observing Posture",
"question": "Which UAV perspective better illustrates the relative positioning of the parked cars to the road's centerline?",
"options": {
"A": "UAV1, as it shows a side view that clearly aligns cars with the road's edge",
"B": "UAV2, as it provides an overhead view that directly shows car positions relative to the centerline",
"C": "Both perspectives equally illustrate the cars' positioning",
"D": "Neither perspective adequately shows the cars' relative positioning"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000319-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000319-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_why2col_UAV1_11",
"question_id": "MDMT_WH_UAV1_128",
"question_type": "Why to Collaborate",
"question": "Why should UAV1 collaborate with another UAV?",
"options": {
"A": "To enhance the visibility of distant or small targets that are not clearly visible in its current perspective.",
"B": "To capture a wider area and provide a more comprehensive view of the environment.",
"C": "To adjust for differences in weather conditions affecting image clarity.",
"D": "To overcome partial occlusion caused by objects in the foreground."
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000037-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000037-UAV2-noise.jpg"
}
},
{
"sequence_frame": "27-00000664",
"question_id": "MDMT_US_UAV2_129",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV2 usable for target perception tasks?",
"options": {
"A": "Yes, highly usable",
"B": "Yes, usable",
"C": "Yes, barely usable",
"D": "No, not usable"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/27-00000664-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/27-00000664-UAV2.jpg"
}
},
{
"sequence_frame": "39-00000366",
"question_id": "MDMT_OB_UAV1_130",
"question_type": "Object Recognition",
"question": "Which non-vehicle object is most prominently visible in this nighttime scene?",
"options": {
"A": "A cyclist",
"B": "A pedestrian",
"C": "A skateboarder",
"D": "A runner"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000366-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000366-UAV2.jpg"
}
},
{
"sequence_frame": "32-00000690",
"question_id": "MDMT_SC_UAV1_131",
"question_type": "Scene Description",
"question": "How do the vehicles and pedestrians interact in this scene?",
"options": {
"A": "Vehicles are driving while avoiding pedestrians crossing the road",
"B": "Pedestrians are walking along the sidewalks, separate from the moving vehicles",
"C": "Vehicles and pedestrians are mixed, with no clear separation",
"D": "Pedestrians are crossing at designated crosswalks, stopping vehicle traffic"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/32-00000690-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/32-00000690-UAV2.jpg"
}
},
{
"sequence_frame": "66-00000600",
"question_id": "MDMT_QU_UAV2_132",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?",
"options": {
"A": "5",
"B": "4",
"C": "1",
"D": "3"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/66-00000600-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/66-00000600-UAV2.jpg"
}
},
{
"sequence_frame": "25-00000289",
"question_id": "MDMT_OB_UAV2_133",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?",
"options": {
"A": "24",
"B": "30",
"C": "26",
"D": "27"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/25-00000289-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/25-00000289-UAV2.jpg"
}
},
{
"sequence_frame": "51-00000544",
"question_id": "MDMT_SC_UNKNOWN_134",
"question_type": "Scene Comparison",
"question": "What is a notable difference in the types of vehicles visible between UAV1 and UAV2?",
"options": {
"A": "UAV1 shows more buses, while UAV2 shows more trucks",
"B": "UAV1 includes a motorcycle, which is absent in UAV2",
"C": "UAV2 includes a fire truck, which is not present in UAV1",
"D": "UAV2 shows more construction-related vehicles compared to UAV1"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/51-00000544-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/51-00000544-UAV2.jpg"
}
},
{
"sequence_frame": "69-00000137",
"question_id": "MDMT_CA_UAV2_135",
"question_type": "Causal Assessment",
"question": "What main factor might affect object detection in this scene?",
"options": {
"A": "Low contrast due to uniform lighting",
"B": "Partial occlusion by pedestrians",
"C": "Small object size relative to image scale",
"D": "High noise from long-distance capture"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/69-00000137-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/69-00000137-UAV2.jpg"
}
},
{
"sequence_frame": "53-00000680",
"question_id": "MDMT_OB_UNKNOWN_136",
"question_type": "Observing Posture",
"question": "Which UAV perspective better illustrates the relative orientation of vehicles to the road's central divider?",
"options": {
"A": "UAV1, as it provides a direct top-down view emphasizing vehicle alignment",
"B": "UAV2, as it offers a diagonal view highlighting vehicle directionality",
"C": "Both perspectives equally illustrate vehicle orientation",
"D": "Neither perspective adequately shows vehicle orientation"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/53-00000680-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/53-00000680-UAV2.jpg"
}
},
{
"sequence_frame": "70-00000100",
"question_id": "MDMT_SC_UAV2_137",
"question_type": "Scene Description",
"question": "How do the vehicles and pedestrians interact at the crosswalk in this scene?",
"options": {
"A": "Vehicles are stopped, allowing pedestrians to cross safely",
"B": "Pedestrians are waiting while vehicles continue to pass through",
"C": "There is no crosswalk present in the scene",
"D": "Vehicles and pedestrians are moving simultaneously without interference"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/70-00000100-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/70-00000100-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_when2col_UAV1_2",
"question_id": "MDMT_WH_UAV1_138",
"question_type": "When to Collaborate",
"question": "Should UAV1 collaborate with another UAV to address need for collaboration due to incomplete information?",
"options": {
"A": "Yes, due to partial occlusion of key objects",
"B": "No, the scene is fully visible",
"C": "Yes, due to poor visibility of the objects",
"D": "No, all objects are clearly captured"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000004-UAV1-loss.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000004-UAV2-loss.jpg"
}
},
{
"sequence_frame": "51-00000544",
"question_id": "MDMT_WH_UAV2_139",
"question_type": "When to Collaborate",
"question": "Should UAV2 collaborate with another UAV to address need for collaboration due to incomplete information?",
"options": {
"A": "Yes, due to partial occlusion of key objects",
"B": "No, the scene is fully visible",
"C": "Yes, due to poor visibility of the objects",
"D": "No, all objects are clearly captured"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/51-00000544-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/51-00000544-UAV2.jpg"
}
},
{
"sequence_frame": "30-00000199",
"question_id": "MDMT_QU_UAV2_140",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?",
"options": {
"A": "4",
"B": "3",
"C": "5",
"D": "1"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/30-00000199-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/30-00000199-UAV2.jpg"
}
},
{
"sequence_frame": "70-00000336",
"question_id": "MDMT_OB_UNKNOWN_141",
"question_type": "Object Matching",
"question": "Which object in UAV2 corresponds to the black car turning right at the intersection in UAV1?",
"options": {
"A": "The black car now seen driving straight on the main road in UAV2",
"B": "The black car now parked in a lot near the buildings in UAV2",
"C": "The black car now seen approaching an intersection from a side street in UAV2",
"D": "The black car now seen exiting a parking area onto the main road in UAV2"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/70-00000336-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/70-00000336-UAV2.jpg"
}
},
{
"sequence_frame": "65-00000500",
"question_id": "MDMT_OB_UAV1_142",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?",
"options": {
"A": "65",
"B": "63",
"C": "67",
"D": "64"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/65-00000500-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/65-00000500-UAV2.jpg"
}
},
{
"sequence_frame": "45-00000112",
"question_id": "MDMT_WH_UAV2_143",
"question_type": "What to Collaborate",
"question": "What specific object information should UAV2 share with UAV1 to improve perception?",
"options": {
"A": "Details of the pedestrians near the bottom left corner",
"B": "Details of the vehicles on the far right side of the road",
"C": "Details of the traffic light status at the top left corner",
"D": "Details of the trees and greenery along the sides"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/45-00000112-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/45-00000112-UAV2.jpg"
}
},
{
"sequence_frame": "44-00000340",
"question_id": "MDMT_OB_UAV1_144",
"question_type": "Object Grounding",
"question": "Which area is directly adjacent to the parking lot with the most cars?",
"options": {
"A": "The large tree cluster on the right side",
"B": "The pedestrian walkway in the center",
"C": "The building with a red roof on the left",
"D": "The road at the bottom of the image"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/44-00000340-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/44-00000340-UAV2.jpg"
}
},
{
"sequence_frame": "44-00000150",
"question_id": "MDMT_SC_UAV1_145",
"question_type": "Scene Description",
"question": "How do the pedestrians interact with the parked vehicles in this scene?",
"options": {
"A": "Pedestrians are walking between the rows of parked vehicles",
"B": "Pedestrians are standing next to their vehicles, possibly loading or unloading",
"C": "Pedestrians are walking along the perimeter outside the parking area",
"D": "Pedestrians are running across the parking lot without any specific pattern"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/44-00000150-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/44-00000150-UAV2.jpg"
}
},
{
"sequence_frame": "58-00000285",
"question_id": "MDMT_WH_UAV1_146",
"question_type": "Why to Collaborate",
"question": "Why should UAV1 collaborate with another UAV?",
"options": {
"A": "To overcome object occlusion and gain a complete view of the scene",
"B": "To enhance image brightness and improve target visibility",
"C": "To capture targets that are out of its current field of view",
"D": "To provide a redundant perspective for confirmation"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/58-00000285-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/58-00000285-UAV2.jpg"
}
},
{
"sequence_frame": "74-00000680",
"question_id": "MDMT_US_UAV1_147",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV1 usable for target perception tasks?",
"options": {
"A": "Yes, partially usable",
"B": "Yes, highly usable",
"C": "Yes, usable",
"D": "No, not usable"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/74-00000680-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/74-00000680-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000423",
"question_id": "MDMT_WH_UAV2_148",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV2 collaborate with for collaboration partner for complementary perspective?",
"options": {
"A": "None",
"B": "UAV1",
"C": "A ground-based sensor",
"D": "UAV1"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000423-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000423-UAV2.jpg"
}
},
{
"sequence_frame": "25-00000340",
"question_id": "MDMT_WH_UAV2_149",
"question_type": "Why to Collaborate",
"question": "Why should UAV2 collaborate with another UAV?",
"options": {
"A": "To enhance the visibility of distant or small objects that appear unclear in the current view",
"B": "To reduce the impact of noise interference present in the current image",
"C": "To provide a complete view by overcoming object occlusion issues",
"D": "To capture a broader area for comprehensive scene understanding"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/25-00000340-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/25-00000340-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000008",
"question_id": "MDMT_CA_UAV2_150",
"question_type": "Causal Assessment",
"question": "What main factor might affect object detection in this scene?",
"options": {
"A": "Low contrast due to uniform lighting",
"B": "Occlusion by trees and streetlights",
"C": "Motion blur from fast-moving vehicles",
"D": "High noise levels from image capture"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000008-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000008-UAV2.jpg"
}
},
{
"sequence_frame": "58-00000080",
"question_id": "MDMT_OB_UAV2_151",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?",
"options": {
"A": "22",
"B": "18",
"C": "21",
"D": "23"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/58-00000080-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/58-00000080-UAV2.jpg"
}
},
{
"sequence_frame": "42-00000070",
"question_id": "MDMT_QU_UAV2_152",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?",
"options": {
"A": "5",
"B": "1",
"C": "3",
"D": "4"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/42-00000070-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/42-00000070-UAV2.jpg"
}
},
{
"sequence_frame": "42-00000260",
"question_id": "MDMT_CA_UAV2_153",
"question_type": "Causal Assessment",
"question": "What is the primary cause of reduced visibility for smaller objects in this image?",
"options": {
"A": "Low resolution due to camera settings",
"B": "Occlusion by larger vehicles",
"C": "Motion blur from fast-moving objects",
"D": "Overexposure due to bright sunlight"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/42-00000260-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/42-00000260-UAV2.jpg"
}
},
{
"sequence_frame": "51-00000455",
"question_id": "MDMT_OB_UAV1_154",
"question_type": "Object Grounding",
"question": "Which vehicle is positioned in the lane directly adjacent to the yellow bus and moving in the same direction?",
"options": {
"A": "A black car carrying passengers",
"B": "A white car with a sunroof",
"C": "A red truck transporting goods",
"D": "A silver sedan with tinted windows"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/51-00000455-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/51-00000455-UAV2.jpg"
}
},
{
"sequence_frame": "50-00000475",
"question_id": "MDMT_US_UAV2_155",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV2 usable for target perception tasks?",
"options": {
"A": "Yes, usable",
"B": "Yes, highly usable",
"C": "Yes, partially usable",
"D": "Yes, barely usable"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/50-00000475-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/50-00000475-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000319",
"question_id": "MDMT_WH_UAV2_156",
"question_type": "When to Collaborate",
"question": "Should UAV2 collaborate with another UAV to address need for collaboration due to environmental factors?",
"options": {
"A": "Yes, due to poor lighting conditions",
"B": "No, lighting is adequate",
"C": "Yes, due to low image resolution",
"D": "No, the environment is clear"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000319-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000319-UAV2.jpg"
}
},
{
"sequence_frame": "66-00000600",
"question_id": "MDMT_US_UAV2_157",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV2 usable for target perception tasks?",
"options": {
"A": "Yes, usable",
"B": "Yes, highly usable",
"C": "Yes, barely usable",
"D": "Yes, partially usable"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/66-00000600-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/66-00000600-UAV2.jpg"
}
},
{
"sequence_frame": "45-00000250",
"question_id": "MDMT_CA_UAV1_158",
"question_type": "Causal Assessment",
"question": "What is the primary cause of reduced perception quality in this image?",
"options": {
"A": "Overexposure due to bright sunlight",
"B": "Occlusion by large buildings",
"C": "Motion blur from fast-moving vehicles",
"D": "Low resolution due to distant observation"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/45-00000250-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/45-00000250-UAV2.jpg"
}
},
{
"sequence_frame": "30-00000112",
"question_id": "MDMT_SC_UAV2_159",
"question_type": "Scene Description",
"question": "How do the vehicles on the road interact with the surrounding pedestrian areas in this scene?",
"options": {
"A": "Vehicles are stopped near pedestrian areas, facilitating access",
"B": "Vehicles are moving away from pedestrian areas, minimizing interaction",
"C": "Vehicles are parked along the road, blocking pedestrian pathways",
"D": "Vehicles are driving through pedestrian areas, creating potential hazards"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/30-00000112-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/30-00000112-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_QA_UAV2_187",
"question_id": "MDMT_QU_UAV2_160",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?",
"options": {
"A": "5",
"B": "2",
"C": "3",
"D": "1"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000667-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000667-UAV2-noise.jpg"
}
},
{
"sequence_frame": "51-00000280",
"question_id": "MDMT_WH_UAV2_161",
"question_type": "What to Collaborate",
"question": "What specific information should UAV2 share with UAV1 to enhance the understanding of traffic flow?",
"options": {
"A": "Details of the pedestrian movements on the sidewalks",
"B": "Real-time updates on vehicle speeds in the central lanes",
"C": "Information about the road surface conditions",
"D": "Visibility of distant vehicles approaching the intersection"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/51-00000280-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/51-00000280-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000073",
"question_id": "MDMT_OB_UAV1_162",
"question_type": "Object Grounding",
"question": "Where is the red car located relative to the white van in the same lane?",
"options": {
"A": "The red car is directly behind the white van",
"B": "The red car is ahead of the white van in the opposite direction",
"C": "The red car is in a parallel lane to the white van",
"D": "The red car is parked on the side of the road near the white van"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000073-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000073-UAV2.jpg"
}
},
{
"sequence_frame": "50-00000530",
"question_id": "MDMT_OB_UNKNOWN_163",
"question_type": "Observing Posture",
"question": "Which UAV perspective better illustrates the orientation of the central truck relative to the road lanes?",
"options": {
"A": "UAV1 provides a clearer orientation due to its direct overhead view",
"B": "UAV2 provides a clearer orientation due to its angled side view",
"C": "Both perspectives show the same level of orientation clarity",
"D": "Neither perspective clearly shows the truck's orientation"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/50-00000530-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/50-00000530-UAV2.jpg"
}
},
{
"sequence_frame": "27-00000573",
"question_id": "MDMT_US_UAV2_164",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV2 usable for target perception tasks?",
"options": {
"A": "Yes, usable",
"B": "Yes, barely usable",
"C": "Yes, highly usable",
"D": "No, not usable"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/27-00000573-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/27-00000573-UAV2.jpg"
}
},
{
"sequence_frame": "63-00000118",
"question_id": "MDMT_QU_UAV2_165",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?",
"options": {
"A": "4",
"B": "3",
"C": "2",
"D": "5"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/63-00000118-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/63-00000118-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000046",
"question_id": "MDMT_WH_UAV2_166",
"question_type": "When to Collaborate",
"question": "Should UAV2 collaborate with another UAV to address need for collaboration due to incomplete information?",
"options": {
"A": "Yes, due to partial occlusion of key objects",
"B": "No, the scene is fully visible",
"C": "Yes, due to poor visibility of the objects",
"D": "No, all objects are clearly captured"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000046-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000046-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_who2col_UAV2_97",
"question_id": "MDMT_WH_UAV2_167",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV2 collaborate with for collaboration partner for specific object data?",
"options": {
"A": "UAV1",
"B": "None (no need for collaboration)",
"C": "A ground-based sensor",
"D": "None (no suitable collaboration partner)"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000700-UAV1-loss.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000700-UAV2-loss.jpg"
}
},
{
"sequence_frame": "25-00000075",
"question_id": "MDMT_WH_UAV1_168",
"question_type": "What to Collaborate",
"question": "What specific scene context information should UAV1 share with UAV2 to enhance overall traffic monitoring?",
"options": {
"A": "Details of the building structures near the road",
"B": "Presence and movement of vehicles on the left side of the road",
"C": "The condition of the roadside greenery and pathways",
"D": "The status of the sports field adjacent to the road"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/25-00000075-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/25-00000075-UAV2.jpg"
}
},
{
"sequence_frame": "50-00000530",
"question_id": "MDMT_OB_UAV2_169",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?",
"options": {
"A": "180",
"B": "184",
"C": "181",
"D": "178"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/50-00000530-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/50-00000530-UAV2.jpg"
}
},
{
"sequence_frame": "45-00000010",
"question_id": "MDMT_CA_UAV2_170",
"question_type": "Causal Assessment",
"question": "What main factor might affect object detection in this scene?",
"options": {
"A": "Low contrast due to similar colors of vehicles and road",
"B": "High noise from image compression artifacts",
"C": "Partial occlusion by pedestrians at crosswalks",
"D": "Motion blur from fast-moving vehicles"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/45-00000010-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/45-00000010-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_who2col_UAV1_2",
"question_id": "MDMT_WH_UAV1_171",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV1 collaborate with for collaboration partner for specific object data?",
"options": {
"A": "UAV2",
"B": "None (no need for collaboration)",
"C": "A ground-based sensor",
"D": "None (no suitable collaboration partner)"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000004-UAV1-loss.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000004-UAV2-loss.jpg"
}
},
{
"sequence_frame": "45-00000318",
"question_id": "MDMT_QU_UAV1_172",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?",
"options": {
"A": "2",
"B": "1",
"C": "3",
"D": "4"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/45-00000318-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/45-00000318-UAV2.jpg"
}
},
{
"sequence_frame": "74-00000680",
"question_id": "MDMT_OB_UAV2_173",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?",
"options": {
"A": "70",
"B": "74",
"C": "71",
"D": "68"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/74-00000680-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/74-00000680-UAV2.jpg"
}
},
{
"sequence_frame": "25-00000125",
"question_id": "MDMT_OB_UNKNOWN_174",
"question_type": "Object Matching",
"question": "Which object in UAV2 corresponds to the small white building near the road in UAV1?",
"options": {
"A": "The large building with many windows near the road in UAV2",
"B": "The small white structure now located closer to the trees in UAV2",
"C": "The red-roofed building near the central pathway in UAV2",
"D": "The green shed near the parking area in UAV2"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/25-00000125-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/25-00000125-UAV2.jpg"
}
},
{
"sequence_frame": "65-00000700",
"question_id": "MDMT_QU_UAV2_175",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?",
"options": {
"A": "1",
"B": "5",
"C": "3",
"D": "4"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/65-00000700-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/65-00000700-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_OP_17",
"question_id": "MDMT_OB_UNKNOWN_176",
"question_type": "Observing Posture",
"question": "Which UAV perspective allows for a more accurate assessment of vehicle orientation on the road?",
"options": {
"A": "UAV1, as it provides a clear top-down view of the vehicles' alignment",
"B": "UAV2, as it offers a side perspective that highlights vehicle orientation",
"C": "Both UAVs provide equally accurate assessments of vehicle orientation",
"D": "Neither UAV can accurately assess vehicle orientation due to poor visibility"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000067-UAV1-loss.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000067-UAV2-loss.jpg"
}
},
{
"sequence_frame": "45-00000200",
"question_id": "MDMT_CA_UAV1_177",
"question_type": "Causal Assessment",
"question": "What is the primary cause of reduced visibility in this image?",
"options": {
"A": "Overexposure due to bright sunlight",
"B": "Motion blur from fast-moving vehicles",
"C": "Occlusion by large buildings",
"D": "Low contrast due to uniform lighting"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/45-00000200-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/45-00000200-UAV2.jpg"
}
},
{
"sequence_frame": "42-00000111",
"question_id": "MDMT_OB_UAV1_178",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?",
"options": {
"A": "33",
"B": "34",
"C": "38",
"D": "36"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/42-00000111-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/42-00000111-UAV2.jpg"
}
},
{
"sequence_frame": "63-00000020",
"question_id": "MDMT_SC_UNKNOWN_179",
"question_type": "Scene Comparison",
"question": "How does the visibility of the parked cars on the side streets differ between the two UAV perspectives?",
"options": {
"A": "UAV1 shows more parked cars due to a wider field of view",
"B": "UAV2 shows more parked cars as it captures a broader area",
"C": "Both UAVs show the same number of parked cars with equal clarity",
"D": "UAV1 obscures the parked cars with trees, while UAV2 clearly shows them"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/63-00000020-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/63-00000020-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000060",
"question_id": "MDMT_OB_UNKNOWN_180",
"question_type": "Observing Posture",
"question": "Which UAV perspective better illustrates the relative orientation of vehicles to the road's lane markings?",
"options": {
"A": "UAV1, as it shows vehicles directly aligned with lane markings",
"B": "UAV2, as it provides a broader view of vehicle alignment",
"C": "Both perspectives equally illustrate vehicle orientation",
"D": "Neither perspective clearly shows vehicle orientation"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000060-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000060-UAV2.jpg"
}
},
{
"sequence_frame": "70-00000287",
"question_id": "MDMT_QU_UAV2_181",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?",
"options": {
"A": "3",
"B": "4",
"C": "1",
"D": "5"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/70-00000287-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/70-00000287-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_when2col_UAV2_96",
"question_id": "MDMT_WH_UAV2_182",
"question_type": "When to Collaborate",
"question": "Should UAV2 collaborate with another UAV to address need for collaboration due to incomplete information?",
"options": {
"A": "Yes, due to partial occlusion of key objects",
"B": "No, the scene is fully visible",
"C": "Yes, due to poor visibility of the objects",
"D": "No, all objects are clearly captured"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000667-UAV1-loss.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000667-UAV2-loss.jpg"
}
},
{
"sequence_frame": "MDMT_why2col_UAV1_102",
"question_id": "MDMT_WH_UAV1_183",
"question_type": "Why to Collaborate",
"question": "Why should UAV1 collaborate with another UAV?",
"options": {
"A": "To enhance visibility of targets under shadow conditions",
"B": "To capture a wider geographical area",
"C": "To increase the speed of data transmission",
"D": "To reduce power consumption"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000700-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000700-UAV2-noise.jpg"
}
},
{
"sequence_frame": "54-00000700",
"question_id": "MDMT_OB_UAV1_184",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?",
"options": {
"A": "63",
"B": "64",
"C": "62",
"D": "61"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/54-00000700-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/54-00000700-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000281",
"question_id": "MDMT_WH_UAV2_185",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV2 collaborate with for collaboration partner for complementary perspective?",
"options": {
"A": "None",
"B": "UAV1",
"C": "A ground-based sensor",
"D": "UAV1"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000281-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000281-UAV2.jpg"
}
},
{
"sequence_frame": "42-00000350",
"question_id": "MDMT_WH_UAV1_186",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV1 collaborate with for collaboration partner for specific object data?",
"options": {
"A": "UAV2",
"B": "None (no need for collaboration)",
"C": "A ground-based sensor",
"D": "None (no suitable collaboration partner)"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/42-00000350-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/42-00000350-UAV2.jpg"
}
},
{
"sequence_frame": "25-00000066",
"question_id": "MDMT_SC_UNKNOWN_187",
"question_type": "Scene Comparison",
"question": "What is a notable difference in the types of objects visible near the road between UAV1 and UAV2?",
"options": {
"A": "UAV1 shows a construction site, while UAV2 does not",
"B": "UAV2 shows more parked cars along the sidewalk",
"C": "UAV1 includes a sports field, which is absent in UAV2",
"D": "UAV2 displays a larger body of water compared to UAV1"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/25-00000066-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/25-00000066-UAV2.jpg"
}
},
{
"sequence_frame": "32-00000401",
"question_id": "MDMT_CA_UAV1_188",
"question_type": "Causal Assessment",
"question": "What is the primary cause of reduced perception quality in this image?",
"options": {
"A": "Overexposure due to bright sunlight",
"B": "Occlusion by large buildings",
"C": "Motion blur from fast-moving vehicles",
"D": "Small target"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/32-00000401-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/32-00000401-UAV2.jpg"
}
},
{
"sequence_frame": "63-00000118",
"question_id": "MDMT_US_UAV2_189",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV2 usable for target perception tasks?",
"options": {
"A": "No, not usable",
"B": "Yes, highly usable",
"C": "Yes, usable",
"D": "Yes, barely usable"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/63-00000118-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/63-00000118-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_QA_UAV1_5",
"question_id": "MDMT_QU_UAV1_190",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?",
"options": {
"A": "2",
"B": "5",
"C": "4",
"D": "3"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000004-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000004-UAV2-noise.jpg"
}
},
{
"sequence_frame": "74-00000010",
"question_id": "MDMT_CA_UAV1_191",
"question_type": "Causal Assessment",
"question": "What is the primary cause of reduced perception quality in this image?",
"options": {
"A": "Occlusion by surrounding buildings",
"B": "Motion blur from moving vehicles",
"C": "Overexposure due to bright sunlight",
"D": "Low resolution due to camera settings"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/74-00000010-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/74-00000010-UAV2.jpg"
}
},
{
"sequence_frame": "69-00000490",
"question_id": "MDMT_CA_UAV2_192",
"question_type": "Causal Assessment",
"question": "What main factor might affect object detection in this scene?",
"options": {
"A": "Low contrast due to uniform lighting",
"B": "Partial occlusion by pedestrians",
"C": "Small object size relative to image resolution",
"D": "High noise from long-distance capture"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/69-00000490-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/69-00000490-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000665",
"question_id": "MDMT_SC_UAV2_193",
"question_type": "Scene Description",
"question": "How do the vehicles and pedestrians interact at the crosswalk in this scene?",
"options": {
"A": "Vehicles are stopped, allowing pedestrians to cross safely",
"B": "Pedestrians are waiting while vehicles continue to pass through the crosswalk",
"C": "Both vehicles and pedestrians are moving simultaneously across the crosswalk",
"D": "There are no pedestrians present, and vehicles are freely moving"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000665-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000665-UAV2.jpg"
}
},
{
"sequence_frame": "30-00000650",
"question_id": "MDMT_OB_UAV1_194",
"question_type": "Object Counting",
"question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?",
"options": {
"A": "36",
"B": "37",
"C": "33",
"D": "35"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/30-00000650-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/30-00000650-UAV2.jpg"
}
},
{
"sequence_frame": "32-00000550",
"question_id": "MDMT_OB_UAV2_195",
"question_type": "Object Grounding",
"question": "Which vehicle is positioned in the lane designated for turning right at the intersection?",
"options": {
"A": "The red bus",
"B": "The white car near the center of the intersection",
"C": "The black car approaching the intersection",
"D": "The light blue car in the middle lane"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/32-00000550-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/32-00000550-UAV2.jpg"
}
},
{
"sequence_frame": "39-00000425",
"question_id": "MDMT_WH_UAV2_196",
"question_type": "Why to Collaborate",
"question": "Why should UAV2 collaborate with another UAV?",
"options": {
"A": "To enhance visibility of targets under shadow conditions",
"B": "To capture targets that are out of its current field of view",
"C": "To improve the overall image brightness for better analysis",
"D": "To provide a redundant perspective for confirmation"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000425-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000425-UAV2.jpg"
}
},
{
"sequence_frame": "74-00000100",
"question_id": "MDMT_OB_UAV1_197",
"question_type": "Object Grounding",
"question": "Which statement best describes the spatial relationship between the large white truck and the teal car in the scene?",
"options": {
"A": "The teal car is directly behind the large white truck in the same lane.",
"B": "The teal car is in a different lane, positioned ahead of the large white truck.",
"C": "The teal car is parked on the side of the road, while the large white truck is driving.",
"D": "The teal car is in the adjacent lane, traveling in the opposite direction of the large white truck."
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/74-00000100-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/74-00000100-UAV2.jpg"
}
},
{
"sequence_frame": "69-00000220",
"question_id": "MDMT_WH_UAV1_198",
"question_type": "When to Collaborate",
"question": "Should UAV1 collaborate with another UAV to address need for collaboration due to incomplete information?",
"options": {
"A": "Yes, due to partial occlusion of key objects",
"B": "No, the scene is fully visible",
"C": "Yes, due to poor visibility of the objects",
"D": "No, all objects are clearly captured"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/69-00000220-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/69-00000220-UAV2.jpg"
}
},
{
"sequence_frame": "70-00000164",
"question_id": "MDMT_OB_UAV2_199",
"question_type": "Object Recognition",
"question": "What type of non-vehicle object is prominently visible near the center of the image?",
"options": {
"A": "A cyclist",
"B": "A pedestrian",
"C": "A streetlight",
"D": "A bus stop"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/70-00000164-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/70-00000164-UAV2.jpg"
}
},
{
"sequence_frame": "39-00000650",
"question_id": "MDMT_SC_UAV2_200",
"question_type": "Scene Description",
"question": "How do the pedestrians interact with the parked vehicles in this scene?",
"options": {
"A": "Pedestrians are walking alongside the parked vehicles",
"B": "Pedestrians are crossing the road in front of the parked vehicles",
"C": "Pedestrians are entering or exiting the parked vehicles",
"D": "Pedestrians are standing far from the parked vehicles"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000650-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000650-UAV2.jpg"
}
},
{
"sequence_frame": "70-00000336",
"question_id": "MDMT_WH_UAV2_201",
"question_type": "When to Collaborate",
"question": "Should UAV2 collaborate with another UAV to address need for collaboration due to incomplete information?",
"options": {
"A": "Yes, due to partial occlusion of key objects",
"B": "No, the scene is fully visible",
"C": "Yes, due to poor visibility of the objects",
"D": "No, all objects are clearly captured"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/70-00000336-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/70-00000336-UAV2.jpg"
}
},
{
"sequence_frame": "58-00000120",
"question_id": "MDMT_OB_UAV1_202",
"question_type": "Object Grounding",
"question": "Which vehicle is positioned in the lane closest to the center divider?",
"options": {
"A": "The white car near the pedestrian crossing",
"B": "The dark-colored car in the middle of the image",
"C": "The silver car approaching the center divider",
"D": "The red car on the far left side"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/58-00000120-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/58-00000120-UAV2.jpg"
}
},
{
"sequence_frame": "45-00000200",
"question_id": "MDMT_WH_UAV1_203",
"question_type": "Why to Collaborate",
"question": "Why should UAV1 collaborate with another UAV in monitoring the intersection?",
"options": {
"A": "To overcome object occlusion and ensure complete visibility of vehicles",
"B": "To enhance image brightness and resolve shadow issues for better perception",
"C": "To capture a wider area and provide a more extensive view of the surroundings",
"D": "To increase the resolution of distant objects for clearer identification"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/45-00000200-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/45-00000200-UAV2.jpg"
}
},
{
"sequence_frame": "51-00000170",
"question_id": "MDMT_OB_UNKNOWN_204",
"question_type": "Object Matching",
"question": "Which object in UAV2 corresponds to the blue car parked near the intersection in UAV1?",
"options": {
"A": "The blue car now driving away from the intersection in UAV2",
"B": "The blue car now parked further along the road in UAV2",
"C": "The blue car now seen approaching the intersection in UAV2",
"D": "The blue car now stationary at a different part of the intersection in UAV2"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/51-00000170-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/51-00000170-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000001",
"question_id": "MDMT_OB_UNKNOWN_205",
"question_type": "Object Matching",
"question": "Which object in UAV2 corresponds to the white van traveling on the road in UAV1?",
"options": {
"A": "The white van now seen approaching a pedestrian crossing in UAV2",
"B": "The beige car traveling in the opposite direction in UAV2",
"C": "The white van parked along the side of the road in UAV2",
"D": "The white van now seen traveling on the opposite lane in UAV2"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000001-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000001-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_OG_UAV1_91",
"question_id": "MDMT_OB_UAV1_206",
"question_type": "Object Grounding",
"question": "What is the spatial relationship between the two individuals riding motorcycles on the left in this scene?",
"options": {
"A": "One individual is directly behind the other on the same lane.",
"B": "The individuals are riding side by side in adjacent lanes.",
"C": "One individual is ahead of the other but in a different lane.",
"D": "The individuals are positioned at opposite ends of the road."
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000700-UAV1-loss.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000700-UAV2-loss.jpg"
}
},
{
"sequence_frame": "MDMT_who2col_UAV1_93",
"question_id": "MDMT_WH_UAV1_207",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV1 collaborate with for collaboration partner for specific object data?",
"options": {
"A": "UAV2",
"B": "None (no need for collaboration)",
"C": "A ground-based sensor",
"D": "None (no suitable collaboration partner)"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000667-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000667-UAV2-noise.jpg"
}
},
{
"sequence_frame": "MDMT_why2col_UAV1_17",
"question_id": "MDMT_WH_UAV1_208",
"question_type": "Why to Collaborate",
"question": "Why should UAV1 collaborate with another UAV based on the provided images?",
"options": {
"A": "To enhance the detection of vehicles in shadowed areas",
"B": "To fill in information gaps due to a completely dark field of view in UAV2",
"C": "To improve the resolution of distant objects",
"D": "To synchronize flight paths for coordinated surveillance"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000067-UAV1-loss.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000067-UAV2-loss.jpg"
}
},
{
"sequence_frame": "29-00000134",
"question_id": "MDMT_SC_UAV1_209",
"question_type": "Scene Description",
"question": "How are the parking spaces arranged relative to the main road in this scene?",
"options": {
"A": "Parking spaces are located directly adjacent to the main road, separated by a thin barrier",
"B": "Parking spaces are situated parallel to the main road with a wide sidewalk in between",
"C": "Parking spaces are on the opposite side of the road, requiring vehicles to cross the main road",
"D": "Parking spaces are integrated within the main road, allowing for easy access"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/29-00000134-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/29-00000134-UAV2.jpg"
}
},
{
"sequence_frame": "45-00000140",
"question_id": "MDMT_WH_UAV1_210",
"question_type": "What to Collaborate",
"question": "What specific scene context information should UAV1 share with UAV2 to enhance traffic flow understanding?",
"options": {
"A": "Details of the pedestrian movements at the crosswalks",
"B": "Status of the traffic lights at the intersection",
"C": "Speed and direction of vehicles on the left side of the road",
"D": "Presence and movement of vehicles near the building entrances"
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/45-00000140-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/45-00000140-UAV2.jpg"
}
},
{
"sequence_frame": "27-00000618",
"question_id": "MDMT_WH_UAV1_211",
"question_type": "When to Collaborate",
"question": "Should UAV1 collaborate with another UAV to address need for collaboration due to environmental factors?",
"options": {
"A": "Yes, due to poor lighting conditions",
"B": "No, lighting is adequate",
"C": "Yes, due to low image resolution",
"D": "No, the environment is clear"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/27-00000618-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/27-00000618-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000001",
"question_id": "MDMT_QU_UAV1_212",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?",
"options": {
"A": "4",
"B": "1",
"C": "5",
"D": "2"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000001-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000001-UAV2.jpg"
}
},
{
"sequence_frame": "MDMT_UA_UAV2_171",
"question_id": "MDMT_US_UAV2_213",
"question_type": "Usability Assessment",
"question": "Is the image captured by UAV2 usable for target perception tasks?",
"options": {
"A": "No, not usable",
"B": "Yes, highly usable",
"C": "Yes, barely usable",
"D": "Yes, partially usable"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000460-UAV1-noise.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000460-UAV2-noise.jpg"
}
},
{
"sequence_frame": "23-00000356",
"question_id": "MDMT_WH_UAV2_214",
"question_type": "When to Collaborate",
"question": "Should UAV2 collaborate with another UAV to enhance perception of the road environment due to specific environmental factors?",
"options": {
"A": "Yes, due to the presence of multiple lanes and varying traffic density",
"B": "No, the road is clear and traffic is minimal",
"C": "Yes, due to potential blind spots created by roadside structures",
"D": "No, all necessary information is already visible"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000356-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000356-UAV2.jpg"
}
},
{
"sequence_frame": "54-00000695",
"question_id": "MDMT_WH_UAV1_215",
"question_type": "What to Collaborate",
"question": "What specific object information should UAV1 share with UAV2 to improve perception?",
"options": {
"A": "Details of the yellow bus's position and movement on the left side",
"B": "Details of the pedestrian bridge structure",
"C": "Details of the surrounding greenery and trees",
"D": "Details of the road's lane markings"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/54-00000695-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/54-00000695-UAV2.jpg"
}
},
{
"sequence_frame": "29-00000250",
"question_id": "MDMT_QU_UAV1_216",
"question_type": "Quality Assessment",
"question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?",
"options": {
"A": "2",
"B": "1",
"C": "3",
"D": "4"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/29-00000250-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/29-00000250-UAV2.jpg"
}
},
{
"sequence_frame": "58-00000285",
"question_id": "MDMT_OB_UNKNOWN_217",
"question_type": "Observing Posture",
"question": "Which UAV perspective better illustrates the orientation of the road's lane markings relative to the observer?",
"options": {
"A": "UAV1, as it shows a more direct top-down view of the lane markings",
"B": "UAV2, as it provides a clearer side perspective of the lane markings",
"C": "Both perspectives equally illustrate the lane markings' orientation",
"D": "Neither perspective adequately shows the lane markings' orientation"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/58-00000285-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/58-00000285-UAV2.jpg"
}
},
{
"sequence_frame": "23-00000423",
"question_id": "MDMT_OB_UAV2_218",
"question_type": "Object Grounding",
"question": "Which vehicle is positioned in the lane that allows a right turn, as indicated by the road markings?",
"options": {
"A": "The red car near the center of the image",
"B": "The white van driving ahead of the red car",
"C": "The blue taxi on the far right",
"D": "The white car next to the red car"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/23-00000423-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/23-00000423-UAV2.jpg"
}
},
{
"sequence_frame": "45-00000010",
"question_id": "MDMT_WH_UAV1_219",
"question_type": "What to Collaborate",
"question": "What specific object information should UAV1 share with UAV2 to improve perception?",
"options": {
"A": "Details of the pedestrian movements near the bottom left corner",
"B": "Details of the parked cars on the right side",
"C": "Details of the traffic flow on the top left road",
"D": "Details of the trees and their shadows"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/45-00000010-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/45-00000010-UAV2.jpg"
}
},
{
"sequence_frame": "51-00000335",
"question_id": "MDMT_WH_UAV2_220",
"question_type": "Why to Collaborate",
"question": "Why should UAV2 collaborate with another UAV?",
"options": {
"A": "To overcome object occlusion and gain a complete view of the scene",
"B": "To enhance image quality by compensating for blur or brightness issues",
"C": "To adjust for different lighting conditions affecting target visibility",
"D": "To capture targets that are out-of-view in the current perspective"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/51-00000335-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/51-00000335-UAV2.jpg"
}
},
{
"sequence_frame": "39-00000500",
"question_id": "MDMT_OB_UNKNOWN_221",
"question_type": "Object Matching",
"question": "Which object in UAV2 corresponds to the cyclist near the center of the road in UAV1?",
"options": {
"A": "The cyclist now closer to the right side of the road in UAV2",
"B": "The pedestrian walking along the sidewalk in UAV2",
"C": "The cyclist now further ahead on the left side of the road in UAV2",
"D": "The person standing near a parked car in UAV2"
},
"correct_answer": "A",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/39-00000500-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/39-00000500-UAV2.jpg"
}
},
{
"sequence_frame": "66-00000700",
"question_id": "MDMT_WH_UAV2_222",
"question_type": "Why to Collaborate",
"question": "Why should UAV2 collaborate with another UAV?",
"options": {
"A": "To overcome object occlusion and provide a complete view",
"B": "To enhance the visibility of objects under shadow conditions",
"C": "To capture targets that are too small or distant in the current view",
"D": "To fill in information gaps due to out-of-view targets"
},
"correct_answer": "C",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/66-00000700-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/66-00000700-UAV2.jpg"
}
},
{
"sequence_frame": "28-00000025",
"question_id": "MDMT_WH_UAV2_223",
"question_type": "Who to Collaborate",
"question": "Which UAV should UAV2 collaborate with for collaboration partner for specific object data?",
"options": {
"A": "None",
"B": "UAV1",
"C": "A ground-based sensor",
"D": "UAV1"
},
"correct_answer": "B",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/28-00000025-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/28-00000025-UAV2.jpg"
}
},
{
"sequence_frame": "30-00000320",
"question_id": "MDMT_OB_UAV2_224",
"question_type": "Object Grounding",
"question": "What is the spatial relationship between the large circular building and the parking lot with red-roofed structures?",
"options": {
"A": "The large circular building is directly adjacent to the parking lot.",
"B": "The large circular building is across the road from the parking lot.",
"C": "The large circular building is behind the parking lot, separated by trees.",
"D": "The large circular building is in front of the parking lot, separated by a wide road."
},
"correct_answer": "D",
"uav_paths": {
"UAV1": "Real_2_UAVs/Samples/UAV1/30-00000320-UAV1.jpg",
"UAV2": "Real_2_UAVs/Samples/UAV2/30-00000320-UAV2.jpg"
}
}
]