Object Detection
ultralytics
ONNX
yolo11
onnxruntime
casino-chips
chip-detection
casino
live-game-defender
Eval Results (legacy)
Instructions to use sroot/lgd-chips-gen1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use sroot/lgd-chips-gen1 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("sroot/lgd-chips-gen1") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63b8ac0c79b057cef0b59bdf27d55c469dff3d2442bcdc4a12ad7c90f66e3372
- Size of remote file:
- 38.1 MB
- SHA256:
- 4d00b2338160a8a584fe27e2a2a2c1fe58a3efb8bca7f97709d47e58b63c69df
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