Chest X-Ray Dataset for Pulmonary Disease Classification (COVID-19, Tuberculosis, Pneumonia, Normal)
Authors/Creators
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1.
Universidade Federal de Santa Catarina
Description
Dataset Overview This dataset contains chest X-ray (CXR) images organized for the classification of four pulmonary conditions: COVID-19, Tuberculosis, Pneumonia, and Normal. It was compiled from multiple publicly available sources and is intended for training and evaluating Deep Learning models for medical image classification.
Classes (4 Labels):
- COVID-19;
- Tuberculosis;
- Pneumonia;
- Normal;
Dataset Split Strategy The dataset is pre-split into three subsets following a 70/15/15 ratio, ensuring a consistent and reproducible evaluation benchmark:
| Class | Total | Train (70%) | Val (15%) | Test (15%) |
|---|---|---|---|---|
| COVID-19 | 2,300 | 1,610 | 345 | 345 |
| Tuberculosis | 2,300 | 1,610 | 345 | 345 |
| Pneumonia | 2,300 | 1,610 | 345 | 345 |
| Normal | 7,100 | 4,970 | 1,065 | 1,065 |
| Total | 13,900 | 9,800 | 2,100 | 2,100 |
Strict separation was maintained between subsets to prevent data leakage.
The script used to aggregate and split the dataset is available as build_dataset.py
Sources & Licenses This dataset aggregates images from the following publicly available sources:
| Source | Used for | License |
|---|---|---|
| Tuberculosis Chest X-rays Images — Kiran & Jabeen, Mendeley Data, 2024 | Tuberculosis | CC BY 4.0 |
| Labeled Chest X-Ray Images — Kermany et al., Mendeley Data, 2018 | Pneumonia, Normal | CC BY 4.0 |
| COVID-19 Chest X-Ray Image Repository — Figshare | COVID-19 | CC BY 4.0 |
| COVID-19 Image Repository — ml-workgroup | COVID-19 | CC BY 3.0 |
| Radiopaedia (via ieee8023/covid-chestxray-dataset) | COVID-19 | CC BY-NC-SA |
| Eurorad (via ieee8023/covid-chestxray-dataset) | COVID-19 | CC BY-NC-SA |
| Coronacases (via ieee8023/covid-chestxray-dataset) | COVID-19 | Apache 2.0 |
The combined dataset is released under CC BY-NC-SA 4.0, reflecting the most restrictive license among the contributing sources.
If you use this dataset in your research, please cite it as in Citation