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data and checkpoints

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rmaphoh
2024-01-27 12:51:14 +00:00
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README.md
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@@ -63,10 +63,21 @@ To fine tune RETFound on your own data, follow these steps:
2. Organise your data into this directory structure (Public datasets used in this study can be [downloaded here](BENCHMARK.md)) 2. Organise your data into this directory structure (Public datasets used in this study can be [downloaded here](BENCHMARK.md))
<p align="left"> ```
<img src="./pic/file_index.jpg" width="160"> ├── data folder
</p> ├──train
├──class_a
├──class_b
├──class_c
├──val
├──class_a
├──class_b
├──class_c
├──test
├──class_a
├──class_b
├──class_c
```
3. Start fine-tuning (use IDRiD as example). A fine-tuned checkpoint will be saved during training. Evaluation will be run after training. 3. Start fine-tuning (use IDRiD as example). A fine-tuned checkpoint will be saved during training. Evaluation will be run after training.