Lung Bounding Boxes of COVID-19 Chest X-ray Dataset.
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- Motivation
- About the Dataset
- Download the Dataset
- Links and References
- Who are we
- Contact us
- License
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.
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!
Open terminal and run the following command:
git clone https://github.com/GeneralBlockchain/covid-19-chest-xray-lung-bounding-boxes-dataset.git
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Dataset homepage: https://github.com/GeneralBlockchain/covid-19-chest-xray-lung-bounding-boxes-dataset
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Repository: https://github.com/GeneralBlockchain/covid-19-chest-xray-lung-bounding-boxes-dataset.git
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Issue tracker: https://github.com/GeneralBlockchain/covid-19-chest-xray-lung-bounding-boxes-dataset/issues
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Image source: https://github.com/ieee8023/covid-chestxray-dataset
- In case of any help you may need from us, please contact us directly without any hesitation! We will be glad to help you.
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.
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