README.md

metadata

license: other
task_categories:
  - video-classification
  - image-classification
tags:
  - boxing
  - sports
  - action-recognition
  - punch-detection
  - computer-vision
  - qwen
  - vision-llm
  - fine-tuning
pretty_name: Boxing Punch Classification Video Dataset
size_categories:
  - 1K<n<10K

Boxing Punch Classification Video Dataset

Short video clips of boxing punches, labeled for training vision language models.

Dataset Description

This dataset contains 2278 short video clips extracted from Olympic boxing competition footage, each labeled with one of 8 punch/action categories. The clips are designed for fine-tuning vision LLMs like Qwen-VL for boxing action recognition.

Source

Derived from the Olympic Boxing Punch Classification Video Dataset by Piotr Stefański et al. Original recordings from a 2021 boxing league competition.

Labels

Label	Count
head_left_hand	807
head_right_hand	390
miss_left_hand	387
miss_right_hand	209
block_left_hand	190
body_left_hand	111
block_right_hand	96
body_right_hand	88

Total clips: 2278 Total duration: 1562.9 seconds

Dataset Structure

Each entry contains:

• file_name: Path to the video clip (.mp4)
• label: Action category (English)
• start_time / end_time: Timestamps in the source video
• duration: Clip length in seconds
• source_video: Original video filename
• fps: Frames per second

Usage

from datasets import load_dataset

ds = load_dataset("NealBeans/BoxingDataset")

For Qwen-VL Fine-tuning

from transformers import Qwen2VLForConditionalGeneration, AutoProcessor

model = Qwen2VLForConditionalGeneration.from_pretrained("Qwen/Qwen2-VL-7B-Instruct")
processor = AutoProcessor.from_pretrained("Qwen/Qwen2-VL-7B-Instruct")

# Each clip can be used as video input with its label as the target

License

This dataset is derived from research data and is for non-commercial/academic use only. See the original dataset for full license terms.

Citation

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

@article{stefanski2024boxing,
  title={Boxing Punch Detection with Single Static Camera},
  author={Stefa{\n}ski, Piotr and Kozak, Jan and Jach, Tomasz},
  journal={Entropy},
  volume={26},
  number={8},
  pages={617},
  year={2024}
}