aroramoksh11/cricket-shot

CricketShotClassification Dataset

Dataset Description

This dataset is designed for video classification of cricket shots. It contains labeled videos of ten different cricket shots, making it suitable for training and evaluating machine learning models for cricket action recognition.

Dataset Structure

The dataset contains videos of ten cricket shots:

Data Splits

• —Train: 1,250 samples (125 per class)
• —Validation: 250 samples (25 per class)
• —Test: 250 samples (25 per class)

Directory Structure

dataset/
├── train/
│   ├── cover/
│   ├── defense/
│   ├── flick/
│   ├── hook/
│   ├── late_cut/
│   ├── lofted/
│   ├── pull/
│   ├── square_cut/
│   ├── straight/
│   └── sweep/
├── val/
│   ├── cover/
│   ├── defense/
│   ├── flick/
│   ├── hook/
│   ├── late_cut/
│   ├── lofted/
│   ├── pull/
│   ├── square_cut/
│   ├── straight/
│   └── sweep/
└── test/
    ├── cover/
    ├── defense/
    ├── flick/
    ├── hook/
    ├── late_cut/
    ├── lofted/
    ├── pull/
    ├── square_cut/
    ├── straight/
    └── sweep/

Usage

from datasets import load_dataset

# Load the dataset from the hub
dataset = load_dataset("rokmr/cricketshot")

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

Limitations and Bias

• —Limited sample size per class
• —May not cover all possible variations of each shot
• —Lighting and camera angle variations may affect model performance

Citation

If you use this dataset, please cite:

@misc{cricketshot,
  author = {Rohit Kumar},
  title = {Cricket Shot Classification Dataset},
  year = {2025},
  publisher = {Hugging Face}
}

Acknowledgements

The dataset structure and initial inspiration was drawn from the CricShot10 dataset We thank the authors for making their work publicly available.

Dataset Card Contact

For questions or concerns about the dataset, please contact the maintainers through the Hugging Face community platform.