metadata
license: mit
tags:
- yolo
- object-detection
- chess
- pytorch
datasets:
- acapitani/chesspiece-detection-yolo
model-index:
- name: chesspiece-detection-yolo
results: []
♟️ 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.