Datasets:

simonko912
/

simple-doodle-128x128

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Error code:   UnexpectedError

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label string	description string	tags list	split string	source string	width int64	height int64
Smiley	A hand drawn simple smiley	[]	train	Simonko912	128	128
Smiley	A hand drawn smiley	[]	train	Simonko912	128	128
Smiley	A hand drawn smiley	[]	train	Simonko912	128	128
Smiley	Super simple smiley hand drawn	[]	train	Simonko912	128	128
Smiley	Super simple smiley hand drawn	[]	train	Simonko912	128	128
Smiley	simple smiley	[]	train	Simonko912	128	128
Smiley	super simple smiley	[]	train	Simonko912	128	128
Smiley	super simple smiley handrawn	[]	train	Simonko912	128	128
Smiley	smiley handrawn	[]	train	Simonko912	128	128
Smiley	smiley	[]	train	Simonko912	128	128
Star	Yellow glowing cartoon star pixel art	[]	train	Simonko912	128	128
Star	Yellow glowing shining cartoon star pixel art	[]	train	Simonko912	128	128
Star	Yellow glowing cartoon star in black background	[]	train	Simonko912	128	128
Star	Yellow glowing cartoon star in black background	[]	train	Simonko912	128	128
Star	Yellow cartoon star pixelart without outline	[]	train	Simonko912	128	128
Star	Yellow cartoon star pixelart	[]	train	Simonko912	128	128
Star	Yellow cartoon star pixelart shining	[]	train	Simonko912	128	128
1	Number 1	[]	train	Simonko912	128	128
1	Number 1	[]	train	Simonko912	128	128
1	Number 1	[]	train	Simonko912	128	128
1	Number 1	[]	train	Simonko912	128	128
1	Number 1	[]	train	Simonko912	128	128
1	Number 1	[]	train	Simonko912	128	128
1	Number 1	[]	train	Simonko912	128	128
1	Number 1	[]	train	Simonko912	128	128
1	Number 1	[]	train	Simonko912	128	128
1	Number 1	[]	train	Simonko912	128	128
2	Number 2	[]	train	Simonko912	128	128
2	Number 2	[]	train	Simonko912	128	128
2	Number 2	[]	train	Simonko912	128	128
2	Number 2	[]	train	Simonko912	128	128
2	Number 2	[]	train	Simonko912	128	128
2	Number 2	[]	train	Simonko912	128	128
2	Number 2	[]	train	Simonko912	128	128
2	Number 2	[]	train	Simonko912	128	128
3	Number 3	[]	train	Simonko912	128	128
3	Number 3	[]	train	Simonko912	128	128
3	Number 3	[]	train	Simonko912	128	128
3	Number 3	[]	train	Simonko912	128	128
3	Number 3	[]	train	Simonko912	128	128
3	Number 3	[]	train	Simonko912	128	128
3	Number 3	[]	train	Simonko912	128	128
3	Number 3	[]	train	Simonko912	128	128
3	Number 3	[]	train	Simonko912	128	128
4	Number 4	[]	train	Simonko912	128	128
4	Number 4	[]	train	Simonko912	128	128
4	Number 4	[]	train	Simonko912	128	128
4	Number 4	[]	train	Simonko912	128	128
4	Number 4	[]	train	Simonko912	128	128
4	Number 4	[]	train	Simonko912	128	128
4	Number 4	[]	train	Simonko912	128	128
4	Number 4	[]	train	Simonko912	128	128
4	Number 4	[]	train	Simonko912	128	128
5	Number 5	[]	train	Simonko912	128	128
5	Number 5	[]	train	Simonko912	128	128
5	Number 5	[]	train	Simonko912	128	128
5	Number 5	[]	train	Simonko912	128	128
5	Number 5	[]	train	Simonko912	128	128
5	Number 5	[]	train	Simonko912	128	128
5	Number 5	[]	train	Simonko912	128	128
5	Number 5	[]	train	Simonko912	128	128
5	Number 5	[]	train	Simonko912	128	128
6	Number 6	[]	train	Simonko912	128	128
6	Number 6	[]	train	Simonko912	128	128
6	Number 6	[]	train	Simonko912	128	128
6	Number 6	[]	train	Simonko912	128	128
6	Number 6	[]	train	Simonko912	128	128
6	Number 6	[]	train	Simonko912	128	128
6	Number 6	[]	train	Simonko912	128	128
6	Number 6	[]	train	Simonko912	128	128
6	Number 6	[]	train	Simonko912	128	128
6	Number 6	[]	train	Simonko912	128	128
6	Number 6	[]	train	Simonko912	128	128
6	Number 6	[]	train	Simonko912	128	128
6	Number 6	[]	train	Simonko912	128	128
6	Number 6	[]	train	Simonko912	128	128
7	Number 7	[]	train	Simonko912	128	128
7	Number 7	[]	train	Simonko912	128	128
7	Number 7	[]	train	Simonko912	128	128
7	Number 7	[]	train	Simonko912	128	128
7	Number 7	[]	train	Simonko912	128	128
7	Number 7	[]	train	Simonko912	128	128
7	Number 7	[]	train	Simonko912	128	128
7	Number 7	[]	train	Simonko912	128	128
7	Number 7	[]	train	Simonko912	128	128
7	Number 7	[]	train	Simonko912	128	128
7	Number 7	[]	train	Simonko912	128	128
8	Number 8	[]	train	Simonko912	128	128
8	Number 8	[]	train	Simonko912	128	128
8	Number 8	[]	train	Simonko912	128	128
8	Number 8	[]	train	Simonko912	128	128
8	Number 8	[]	train	Simonko912	128	128
8	Number 8	[]	train	Simonko912	128	128
8	Number 8	[]	train	Simonko912	128	128
8	Number 8	[]	train	Simonko912	128	128
8	Number 8	[]	train	Simonko912	128	128
8	Number 8	[]	train	Simonko912	128	128
8	Number 8	[]	train	Simonko912	128	128
9	Number 9	[]	train	Simonko912	128	128
9	Number 9	[]	train	Simonko912	128	128

End of preview.

Pixel Art Dataset

A simple 128x128 dataset, You can train a model to generate, or validate images based on this dataset.

Built with Pixel·Forge — a browser-based pixel art dataset builder (Made by Simonko912)

Statistics

Metric	Value
Total images	149
Format	PNG, RGB
Max resolution	512×512 px
Unique labels	12

Splits

Split	Count
train	125
validation	24

Labels

Label	Count
6	16
9	16
0	15
7	13
8	13
1	12
Smiley	12
3	11
4	11
5	11
2	10
Star	9

Metadata Schema

Each line of metadata.jsonl is a JSON object:

{
  "file_name": "images/image_0000.png",
  "label": "cat",
  "description": "a red pixel-art cat sitting",
  "tags": ["red", "animal"],
  "split": "train",
  "source": "",
  "style": "pixel-art",
  "width": 32,
  "height": 32
}

Usage

from datasets import load_dataset

# Load (auto-detects splits from the "split" field)
ds = load_dataset("imagefolder", data_dir=".")

# Access
img   = ds["train"][0]["image"]   # PIL Image
label = ds["train"][0]["label"]   # ClassLabel int

# Push to Hub
ds.push_to_hub("username/my-pixel-dataset")

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