Spaces:
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Habeeb Okunade
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Adding a README file
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README.md
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---
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title: Beit-Retinal
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emoji: 🚀
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colorFrom: red
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colorTo: green
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sdk: docker
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pinned: false
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license: mit
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short_description: Training model for some retina dataset
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---
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# RETFound MAE – Hugging Face Space (FastAPI): Train + Inference
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This Space lets you upload a zipped ImageFolder dataset, fine-tune a classifier head on top of RETFound MAE, run predictions, and push the trained model to the Hub.
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## Endpoints
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- `POST /predict` → form-data file=`image.jpg`
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## Env Vars
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- `HF_BASE_MODEL_REPO` (e.g., `username/retfound-model`)
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## Dataset format
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```
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zip-root/
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train/
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ClassA/*.jpg
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ClassB/*.jpg
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val/
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ClassA/*.jpg
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ClassB/*.jpg
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```
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## Notes
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- GPU recommended. If CPU-only, reduce batch size.
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- Validation accuracy is reported; best checkpoint saved to `checkpoints/`.
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