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COVID-19 Chest X-ray Lung Bounding Boxes Dataset

COVID-19

Intro

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Lung Bounding Boxes of COVID-19 Chest X-ray Dataset.

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Table of Contents

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 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. 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

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

<!-- - 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) -->

Who are we

We are General Blockchain Inc, 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, today.

Contact Us

License

Each image has license specified in the 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).

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