Instructions to use rievil/crackenpy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use rievil/crackenpy with timm:
import timm model = timm.create_model("hf_hub:rievil/crackenpy", pretrained=True) - Notebooks
- Google Colab
- Kaggle
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### Results & Metrics
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The dataset has 1207 images in resolution of 416x416 pixels together with 1207 masks. The overall accuracy of training for all classes reaches
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#### Hardware
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### Results & Metrics
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The dataset has 1207 images in resolution of 416x416 pixels together with 1207 masks. The overall accuracy of training for all classes reaches 98%, the mean intersection of union reaches 73%.
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#### Hardware
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