dopaul/chess-corner-detection-training

Chess Piece Detection Model

This is a YOLO model trained to detect the corners of a chessboard to map pieces to it.

Model Details

• Model Type: YOLOv8/YOLOv11 Object Detection
• Task: Chess piece detection and classification
• Framework: Ultralytics YOLO
• Repository: dopaul/chess-corner-detection-training

Files

The following files are included in this model:

• best.pt

Usage

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.