Detection of Pneumonia Disease using Chest Radiograph Image Dataset

Published: 26 November 2025| Version 1 | DOI: 10.17632/kpg5yz77gj.1
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Description

The dataset is designed for the study and development of deep learning and machine learning models for pneumonia detection and classification. This dataset contains 504 primary chest X-ray images collected from various pathology labs of the Bhopal area into two classes: (1) Normal: 204 images (2) Pneumonia: 300 images -------------------------------------------- Image Description Format: JPEG / PNG Modality: Chest X-ray (CXR) Color: Grayscale Status: Primary dataset (raw and unprocessed) ----------------------------------------------- Applications: • Binary classification for Pneumonia vs. Normal chest X-ray • Train Deep learning models to automate diagnosis • Develop a mechanism for Computer-aided diagnosis (CAD) • Medical image processing, academic research ---------------------------------------------------------- Category: Artificial Intelligence, Deep Learning, Computer Vision, Clustering, Image processing, CNN, Classification, Medical Imaging, Pneumonia, Chest X-ray

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Institutions

VIT Bhopal University

Categories

Image Database, Image Classification, Medical Image Processing, Binary Classification

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