Upload chess board segmentation model (yolo11s-seg.pt -> 100 epochs)

README.md

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+---
+library_name: ultralytics
+tags:
+- object-detection
+- chess
+- computer-vision
+- yolo
+datasets:
+- chess-pieces
+pipeline_tag: object-detection
+---
+
+# Chess Piece Detection Model
+
+This is a YOLO model trained to detect chess pieces on a chessboard.
+
+## Model Details
+
+- **Model Type**: YOLO11 Object Detection
+- **Task**: Chess piece detection and classification
+- **Framework**: Ultralytics YOLO
+- **Repository**: dopaul/chess-board-segmentation
+
+## Files
+
+The following files are included in this model:
+
+- `best.pt`
+
+## Usage
+
+```python
+from ultralytics import YOLO
+
+# Load the model
+model = YOLO('path/to/best.pt')
+
+# Run inference
+results = model('path/to/chess_image.jpg')
+
+# Display results
+results[0].show()
+```
+
+## Model Performance
+
+This model can detect and classify various chess pieces including:
+- Pawns
+- Rooks
+- Knights
+- Bishops
+- Queens
+- Kings
+
+For both black and white pieces.
+
+## Training Data
+
+The model was trained on chess piece datasets to achieve robust detection across different chess sets and lighting conditions.