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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**: YOLOv8/YOLOv11 Object Detection
- **Task**: Chess piece detection and classification
- **Framework**: Ultralytics YOLO
- **Repository**: dopaul/chessboard-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.
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