Object Detection
ultralytics
ONNX
yolo11
onnxruntime
playing-cards
card-detection
blackjack
Eval Results (legacy)
Instructions to use sroot/cards_day_1.onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use sroot/cards_day_1.onnx 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/cards_day_1.onnx") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
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Model tree for sroot/cards_day_1.onnx
Base model
Ultralytics/YOLO11Evaluation results
- pip recall @ threshold 50, code-aware on LGD frozen video holdout (117 frames, private)self-reported0.680
- precision proxy on LGD frozen video holdout (117 frames, private)self-reported0.604