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+# COVID-19 Chest X-ray Lung Bounding Boxes Dataset
+
+![COVID-19](https://user-images.githubusercontent.com/33668152/86773287-4cc76a80-c077-11ea-9b58-d4452e0ced2f.png)
+
+## Intro
+
+<!--
+<img src="https://user-images.githubusercontent.com/33668152/86773453-7ed8cc80-c077-11ea-975a-b917800389a4.png" alt="X-ray" align="right" width="300" />
+-->
+
+Lung Bounding Boxes of COVID-19 Chest X-ray Dataset.
+
+Go [here](#download-the-dataset) if you don't have time.
+
+---
+
+## Table of Contents
+
+- [Motivation](#motivation)
+- [About the Dataset](#about-the-dataset)
+- [Download the Dataset](#download-the-dataset)
+- [Links and References](#links-and-references)
+- [Who are we](#who-are-we)
+- [Contact us](#contact-us)
+- [License](#license)
+
+---
+
+## Motivation
+
+In this pandemic situation, our aim is to help researchers to find out a solution. In order to do that we are aiming to provide them with proper datasets that makes the process easier.
+
+A [repository](https://github.com/ieee8023/covid-chestxray-dataset) to build a public open dataset of chest X-ray and CT images of patients which are positive or suspected of COVID-19 or other viral and bacterial pneumonias (MERS, SARS, and ARDS.) was created by [Joseph Paul Cohen](https://github.com/ieee8023). Data have been collected from public sources as well as through indirect collection from hospitals and physicians.
+
+We are providing lung bounding boxes of those publicly available datasets.
+
+---
+
+## About the Dataset
+
+This dataset is a total collection of 616 images with Lung Bounding Boxes of Chest X-ray Dataset of Novel Coronavirus (COVID-19) Cases. The annotation file is in COCO format.
+
+Each annotation contains two lung bounding boxes (Left Lung, Right Lung) with additional tags such as Finding, Modality, Sex, Survival, View. Each image was manually annotated by qualified radiologists.
+
+**Warning:** Do not claim diagnostic performance of a model without a clinical study!
+
+---
+
+## Download the Dataset
+
+### Download the dataset as zip format
+
+![Download zip](https://user-images.githubusercontent.com/33668152/86793508-5956bd80-c08d-11ea-89b2-09d87d1d7a2f.png)
+
+### Download using git clone
+
+Open terminal and run the following command:
+
+```
+git clone https://github.com/GeneralBlockchain/covid-19-chest-xray-lung-bounding-boxes-dataset.git
+```
+
+## Links and References
+
+- Dataset homepage: https://github.com/GeneralBlockchain/covid-19-chest-xray-lung-bounding-boxes-dataset
+
+- Repository: https://github.com/GeneralBlockchain/covid-19-chest-xray-lung-bounding-boxes-dataset.git
+
+- Issue tracker: https://github.com/GeneralBlockchain/covid-19-chest-xray-lung-bounding-boxes-dataset/issues
+
+- Image source: https://github.com/ieee8023/covid-chestxray-dataset
+<!--
+- Joseph Paul Cohen, Paul Morrison, Lan Dao, "COVID-19 Image Data Collection" - [paper](https://arxiv.org/abs/2003.11597)
+-->
+<!--
+- Joseph Paul Cohen, Paul Morrison, Lan Dao, Karsten Roth, Tim Q Duong, Marzyeh Ghassemi, "COVID-19 Image Data Collection: Prospective Predictions Are the Future" - [paper](https://arxiv.org/abs/2006.11988)
+-->
+- In case of any help you may need from us, please [contact us](#contact-us) directly without any hesitation! We will be glad to help you.
+
+---
+
+## Who are we
+
+We are **[General Blockchain Inc](https://www.generalblockchain.com/)**, a company developing technology to support the AI industry using blockchain technology.
+
+Our vision is to build a programmable, human based, artificial intelligence.
+
+The first application of this human computer is to provide image annotation services to the machine learning and artificial intelligence community.
+
+Please access our Image Annotation AI services [here](https://www.imageannotation.ai/), today.
+
+---
+
+## Contact Us
+
+* Email: contact@generalblockchain.com
+
+---
+
+## License
+
+Each image has license specified in the [metadata.csv](https://github.com/GeneralBlockchain/covid-19-chest-xray-lung-bounding-boxes-dataset/blob/master/metadata.csv) file. Including Apache 2.0, CC BY-NC-SA 4.0, CC BY 4.0.
+
+The repository is licensed under [Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/).
+
+---
+
+### Special thanks to the following radiologists who worked to the best of their ability to make our research possible:
+
+Dr. Ayoub El Hajjami
+
+Dr. Mohamed Soliman
+
+---
+
+
+