testdummyvt/hagRIDv2_512px_10GB

This is a sample set of full hagRIDv2_512px.

There are two branches with two different formats for the datset:

main revison:

Yolo format. A ~10GB zip file which contains datset setup in ultralytics format. You can download by simply using curl or wget.

wget https://huggingface.co/datasets/testdummyvt/hagRIDv2_512px_10GB/resolve/main/yolo_format.zip?download=true

classification revision:

Huugingface imagefolder dataset format. You can use load_dataset to download datset and use it.

from datasets import load_dataset
dataset = load_dataset("testdummyvt/hagRIDv2_512px_10GB", split = "train", revision="classification")

Citation Information

If you use this dataset, please cite the following:

@misc{nuzhdin2024hagridv21mimagesstatic,
  title={HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition},
  author={Anton Nuzhdin and Alexander Nagaev and Alexander Sautin and Alexander Kapitanov and Karina Kvanchiani},
  year={2024},
  eprint={2412.01508},
  archivePrefix={arXiv},
  primaryClass={cs.CV},
  url={https://arxiv.org/abs/2412.01508},
}

@InProceedings{Kapitanov_2024_WACV,
  author = {Kapitanov, Alexander and Kvanchiani, Karina and Nagaev, Alexander and Kraynov, Roman and Makhliarchuk, Andrei},
  title = {HaGRID -- HAnd Gesture Recognition Image Dataset},
  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  month = {January},
  year = {2024},
  pages = {4572-4581}
}

More Information

For additional details and license, visit the GitHub repository.