| --- |
| 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](https://www.kaggle.com/datasets/piotrstefaskiue/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 |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("NealBeans/BoxingDataset") |
| ``` |
|
|
| ### For Qwen-VL Fine-tuning |
|
|
| ```python |
| 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: |
|
|
| ```bibtex |
| @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} |
| } |
| ``` |
|
|
