Add 1 new BJJ samples - Version 1.1.0

README.md

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+---
+license: mit
+task_categories:
+- image-classification
+- keypoint-detection
+- object-detection
+tags:
+- martial-arts
+- bjj
+- brazilian-jiu-jitsu
+- pose-detection
+- sports-analysis
+- keypoint-detection
+- submissions
+- grappling
+- computer-vision
+language:
+- en
+size_categories:
+- 1K<n<10K
+version: 1.1.0
+---
+
+# BJJ Positions & Submissions Dataset
+
+## Dataset Description
+
+This dataset contains pose keypoint annotations for Brazilian Jiu-Jitsu (BJJ) combat positions and submissions. It includes 2D keypoint coordinates for up to 2 athletes per image, labeled with specific BJJ positions and submission attempts.
+
+### Dataset Summary
+
+- **Total samples**: 1
+- **Position classes**: 1 unique BJJ positions
+- **Keypoint format**: MS-COCO (17 keypoints per person)
+- **Data format**: [x, y, confidence] for each keypoint
+- **Last updated**: 2025-07-21
+- **Version**: 1.1.0
+
+### Supported Tasks
+
+- BJJ position classification
+- Submission detection
+- Multi-person pose estimation
+- Combat sports analysis
+- Action recognition in grappling
+
+## Recent Updates
+
+### Version 1.1.0 (2025-07-21)
+- Added new samples across various positions
+- Improved position coverage and diversity
+- Enhanced submission technique annotations
+
+### Position Distribution
+
+- `closed_guard1`: 1 samples
+
+
+## Dataset Structure
+
+### Data Fields
+
+- `id`: Unique sample identifier
+- `image_name`: Name of the source image
+- `position`: BJJ position/submission label
+- `frame_number`: Frame number from source video
+- `pose1_keypoints`: 17 keypoints for athlete 1 [[x, y, confidence], ...]
+- `pose1_num_keypoints`: Number of visible keypoints for athlete 1
+- `pose2_keypoints`: 17 keypoints for athlete 2 [[x, y, confidence], ...]
+- `pose2_num_keypoints`: Number of visible keypoints for athlete 2
+- `num_people`: Number of people detected (1 or 2)
+- `total_keypoints`: Total visible keypoints across both athletes
+- `date_added`: Date when sample was added to dataset
+
+### Position Classes
+
+The dataset includes the following BJJ positions and submissions:
+
+**Guard Positions:**
+- `open_guard1/2`: Open guard with athlete designation
+- `closed_guard1/2`: Closed guard with athlete designation  
+- `half_guard1/2`: Half guard with athlete designation
+- `50_50_guard`: Equal leg entanglement position
+
+**Top Control Positions:**
+- `mount1/2`: Mount position with athlete designation
+- `side_control1/2`: Side control with athlete designation
+- `back1/2`: Back control with athlete designation
+- `turtle1/2`: Turtle position with athlete designation
+
+**Neutral/Transition:**
+- `standing`: Standing position
+- `takedown1/2`: Takedown attempt with initiator designation
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("carlosj934/BJJ_Positions_Submissions")
+
+# Access samples
+sample = dataset['train'][0]
+print(f"Position: {sample['position']}")
+print(f"Number of people: {sample['num_people']}")
+print(f"Athlete 1 keypoints: {sample['pose1_keypoints']}")
+
+# Filter by specific positions
+guard_samples = dataset['train'].filter(lambda x: 'guard' in x['position'])
+print(f"Guard positions: {len(guard_samples)} samples")
+```
+
+## Data Collection Progress
+
+The dataset is continuously updated with new BJJ position and submission samples. Each position is being captured from multiple angles and with different athletes to improve model generalization.
+
+### Collection Goals
+
+- **Target**: 50+ samples per position (900+ total)
+- **Current**: 1 total samples
+- **Coverage**: 1/18+ positions represented
+- **Focus**: High-quality pose annotations for training robust BJJ classifiers
+
+### Data Quality
+
+- All poses manually verified and labeled
+- Multiple camera angles per position
+- Diverse athlete body types and sizes
+- Clear, unobstructed pose visibility
+
+## Applications
+
+This dataset can be used for:
+
+- **Position Classification**: Automatically identify BJJ positions in videos
+- **Technique Analysis**: Analyze athlete positioning and technique execution
+- **Training Feedback**: Provide real-time feedback on position quality
+- **Competition Analysis**: Automatically score and analyze BJJ matches
+- **Educational Tools**: Interactive learning applications for BJJ students
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@dataset{bjj_positions_submissions_2025,
+  title={BJJ Positions and Submissions Dataset},
+  author={Carlos J},
+  year={2025},
+  version={1.1.0},
+  publisher={Hugging Face},
+  url={https://huggingface.co/datasets/carlosj934/BJJ_Positions_Submissions}
+}
+```
+
+## License
+
+MIT License - See LICENSE file for details.
+
+## Contact
+
+For questions or contributions, please reach out through the Hugging Face dataset page or open an issue in the associated repository.

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