COVID-19 X-ray Dataset (Train & Test Sets)

Overview

This dataset contains curated chest X‑ray images aimed at assisting the detection of COVID‑19 and other respiratory diseases. The dataset is split into training and testing sets, each divided into three main categories: COVID-19 Positive, Normal, and Pneumonia. It is suitable for machine‑learning and deep‑learning applications, especially convolutional neural network (CNN) based image classification.

Dataset Structure

The dataset is organized into two main directories:

• Training Set: Contains labeled images for model training.
• Testing Set: Contains labeled images for model evaluation.

Each set includes sub‑directories representing the different classes:

• COVID-19/
• Normal/
• Pneumonia/

Example Structure:

COVID19_Xray_Dataset/ ├── train/ │ ├── COVID-19/ │ ├── Normal/ │ └── Pneumonia/ └── test/ ├── COVID-19/ ├── Normal/ └── Pneumonia/