data and checkpoints

2024-01-27 12:51:14 +00:00
parent 9c5043d6e8
commit 8130017f41
1 changed files with 15 additions and 4 deletions
@@ -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))

-<p align="left">
-  <img src="./pic/file_index.jpg" width="160">
-</p>
-
+```
+├── data folder
+    ├──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.