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.
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
Gesture Classes
- call
- dislike
- fist
- four
- grabbing
- grip
- like
- middle_finger
- mute
- no_gesture
- ok
- one
- palm
- peace
- peace_inverted
- point
- rock
- stop
- stop_inverted
- three
- three2
- three3
- two_up
- twoupinverted
Dataset Structure
data/
├── train/
│ ├── call/ (608 images)
│ ├── dislike/ (608 images)
│ └── ...
├── val/
│ └── ...
└── test/
└── ...
annotations.csv (19,200 entries)Usage
Loading with Hugging Face Datasets
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
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:
@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)
