metadata
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.