acapitani/chesspiece-detection-yolo

♟️ Chess Piece Detection YOLO

This is a YOLOv10 model trained to detect and classify chess pieces on a standard chessboard.

🧠 Model Info

• Architecture: YOLOv10n
• Classes: 12 (6 white, 6 black pieces)
• Trained on: acapitani/chesspiece-detection-yolo
• Epochs: 100
• Format: PyTorch .pt

📥 Usage

# pip install ultralytics
from ultralytics import YOLO

model = YOLO("./chesspiece-detection-model.pt")
results = model("example_board.jpg")
results.show()

📄 License

This model is released under the MIT license.

⚠️ Note: Although the model is MIT-licensed, it was trained using Ultralytics YOLOv10, which is licensed under GPL-3.0. This may affect downstream usage in closed-source applications.