---
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.