Object Detection
ultralytics
ONNX
yolo11
onnxruntime
casino-chips
chip-detection
casino
live-game-defender
Eval Results (legacy)
Instructions to use sroot/lgd-chips-gen2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use sroot/lgd-chips-gen2 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-gen2") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ee83f091e94467622887873e502f266a998fd473d790147690a45ca63a9b783
- Size of remote file:
- 38.3 MB
- SHA256:
- a00a24d4717b8cc70c480a14c1694817ea19b938e0835cf18249f9149aa824e6
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