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## About Dataset |
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### Content |
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The dataset is organized into 3 folders (train, test, val) and contains subfolders for each image category (Normal/Pneumonia/Covid-19/Tuberculosis). A total of 7135 x-ray images are present. |
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### Acknowledgements |
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Sources: |
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https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia |
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https://www.kaggle.com/tawsifurrahman/tuberculosis-tb-chest-xray-dataset |
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https://www.kaggle.com/prashant268/chest-xray-covid19-pneumonia |
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https://github.com/ieee8023/covid-chestxray-dataset |
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### Inspiration |
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Application of Artificial Intelligence (AI) techniques to detect and classify human diseases from x-ray images |