# About Dataset

## Context

COVID-19 (coronavirus disease 2019) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a strain of coronavirus. The first cases were seen in Wuhan, China, in late December 2019 before spreading globally. The current outbreak was officially recognized as a pandemic by the World Health Organization (WHO) on 11 March 2020.

Currently, Reverse Transcription Polymerase Chain Reaction (RT-PCR) is used for diagnosis of COVID-19. However, X-ray machines are widely available and provide images for diagnosis quickly. Therefore, chest X-ray images can be very useful in early diagnosis of COVID-19.

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## Content

- Dataset is organized into **2 folders**: `train`, `test`

- Both `train` and `test` contain **3 subfolders**:

  - `COVID19`

  - `PNEUMONIA`

  - `NORMAL`

- Dataset contains a total of **6432 X-ray images**

- The test data includes **20%** of the total images

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## Acknowledgements

Images are collected from various publicly available resources.  

If you use the data for research, please give credit to the original authors.

**Sources:**

- https://github.com/ieee8023/covid-chestxray-dataset  

- [Chest X-ray Pneumonia (Kaggle)](https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia)  

- https://github.com/agchung

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## Inspiration

Application of Artificial Intelligence (AI) techniques with radiological images for COVID-19 diagnosis.