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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. |