| license: apache-2.0 | |
| tags: | |
| - chess | |
| - object-detection | |
| - yolo | |
| - pieces | |
| pipeline_tag: object-detection | |
| # Chess Piece Detection YOLO11n | |
| ## Model Description | |
| YOLO11n model optimized for detecting and classifying chess pieces on a board. | |
| ## Classes | |
| - **White pieces**: Pawn, Knight, Bishop, Rook, Queen, King | |
| - **Black pieces**: pawn, knight, bishop, rook, queen, king | |
| ## Performance | |
| - **Input Size**: 416x416 | |
| - **Architecture**: YOLO11n | |
| - **Optimized**: Enhanced GPU training with smart filtering | |
| ## Usage | |
| ```python | |
| from ultralytics import YOLO | |
| model = YOLO("yamero999/chess-piece-detection-yolo11n") | |
| results = model("chess_board.jpg", imgsz=416, conf=0.5) | |
| ``` | |
| ## Training | |
| Trained on diverse chess piece datasets with various board styles, lighting, and angles. | |