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s17660101713/hagrid-subset

HaGRID Gesture Recognition Subset Dataset Description A curated subset of the HaGRID (Hand Gesture Recognition Image Dataset) containing 24 gesture classes for training gesture recognition models. Dataset Summary Total Images: 19,200 Gesture Classes: 24 Samples per Class: 800 Image Format: JPEG Average Image Size: ~302 KB Splits Split Images Percentage Train 14,592 76% Val 1,728 9% Test 2,880 15%… See the full description on the dataset page: https://huggingface.co/datasets/s17660101713/hagrid-subset.

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HaGRID Gesture Recognition Subset

Dataset Description

A curated subset of the HaGRID (Hand Gesture Recognition Image Dataset) containing 24 gesture classes for training gesture recognition models.

Dataset Summary

  • Total Images: 19,200
  • Gesture Classes: 24
  • Samples per Class: 800
  • Image Format: JPEG
  • Average Image Size: ~302 KB

Splits

SplitImagesPercentage
Train14,59276%
Val1,7289%
Test2,88015%

Gesture Classes

  1. 1.call
  2. 2.dislike
  3. 3.fist
  4. 4.four
  5. 5.grabbing
  6. 6.grip
  7. 7.like
  8. 8.middle_finger
  9. 9.mute
  10. 10.no_gesture
  11. 11.ok
  12. 12.one
  13. 13.palm
  14. 14.peace
  15. 15.peace_inverted
  16. 16.point
  17. 17.rock
  18. 18.stop
  19. 19.stop_inverted
  20. 20.three
  21. 21.three2
  22. 22.three3
  23. 23.two_up
  24. 24.twoupinverted

Dataset Structure

data/
├── train/
│   ├── call/          (608 images)
│   ├── dislike/       (608 images)
│   └── ...
├── val/
│   └── ...
└── test/
    └── ...
annotations.csv         (19,200 entries)

Usage

Loading with Hugging Face Datasets

python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("YOUR_USERNAME/hagrid-subset")

# Access splits
train_data = dataset["train"]
val_data = dataset["validation"]
test_data = dataset["test"]

Loading with Pandas

python
import pandas as pd
from PIL import Image

df = pd.read_csv("hf://datasets/YOUR_USERNAME/hagrid-subset/annotations.csv")
train_df = df[df['split'] == 'train']

Citation

If you use this dataset, please cite the original HaGRID dataset:

bibtex
@inproceedings{hagrid2022,
  title={HaGRID--HAnd Gesture Recognition Image Dataset},
  author={Kapitanov, Alexander and Kvanchiani, Karina and Nagaev, Alexander and Kraynov, Andrey and Makhliarchuk, Maxim},
  booktitle={2022 International Conference on Robotics and Artificial Intelligence (ICRAI)},
  year={2022}
}

Dataset Creation

This subset was created using stratified sampling to maintain train/val/test ratios while ensuring class balance.

Validation Status: ✅ Fully validated with 100% annotation coverage

License

MIT License (inherited from original HaGRID dataset)

s17660101713/hagrid-subset · CoolFace