---
task_categories:
- image-classification
language:
- en
tags:
- medical
pretty_name: downprojection_images
size_categories:
- 1K<n<10K
---

# Dataset Structure

This dataset contains images categorized into different classes for medical image analysis. The dataset is organized as follows:

- `CNV`: Contains 250 images and 250 w-vector files.
- `DME`: Contains 250 images and 250 w-vector files.
- `DRUSEN`: Contains 250 images and 250 w-vector files.
- `NORMAL`: Contains 250 images and 250 w-vector files.

## 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.

The purpose of this dataset is to be used in an interactive dash-map where the latent codes of these images have been downprojected using either PCA or t-SNE. Each individual point in the map corresponds to an original image, which is displayed when hovered over. Here is the reposity: https://github.com/marceljhuber/Dash-Downprojection-Viewer