Create README.md

README.md

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+---
+task_categories:
+- image-classification
+language:
+- en
+tags:
+- medical
+pretty_name: KermanyV3_resized
+size_categories:
+- 100K<n<1M
+---
+# Dataset Structure
+
+This dataset contains images categorized into different classes for medical image analysis. The dataset is organized as follows:
+
+## Data Split
+
+The dataset is split into two main subsets: `train` and `test`.
+
+### Train Subset
+
+The `train` subset contains images used for training machine learning models. It is further organized into subdirectories for each class.
+
+- `CNV`: Contains 37,205 images.
+- `DME`: Contains 11,348 images.
+- `DRUSEN`: Contains 8,616 images.
+- `NORMAL`: Contains 51,140 images.
+
+### Test Subset
+
+The `test` subset contains images reserved for testing the trained models. It is organized in a similar manner to the `train` subset, with subdirectories for each class.
+
+- `CNV`: Contains 250 images.
+- `DME`: Contains 250 images.
+- `DRUSEN`: Contains 250 images.
+- `NORMAL`: Contains 250 images.
+
+## Usage
+
+This dataset can be used for tasks such as classification, image recognition, and medical analysis. The provided class subdirectories indicate the different categories for the images.