a/README.md | b/README.md | ||
---|---|---|---|
1 | ## About Dataset |
1 | ## Chest X-Ray Pneumonia Covid |
2 | |||
2 | ### Content |
3 | ### Content |
3 | 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. |
4 | 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. |
4 | 5 | ||
5 | ### Acknowledgements |
6 | ### Acknowledgements |
6 | Sources: |
7 | Sources: |
... |
... |
||
9 | https://www.kaggle.com/prashant268/chest-xray-covid19-pneumonia |
10 | https://www.kaggle.com/prashant268/chest-xray-covid19-pneumonia |
10 | https://github.com/ieee8023/covid-chestxray-dataset |
11 | https://github.com/ieee8023/covid-chestxray-dataset |
11 | 12 | ||
12 | ### Inspiration |
13 | ### Inspiration |
13 | Application of Artificial Intelligence (AI) techniques to detect and classify human diseases from x-ray images |
14 | Application of Artificial Intelligence (AI) techniques to detect and classify human diseases from x-ray images |