In this repository, we follow the "COVID Detection Using Deep Learning" video by Edureka. This repository is providing a comprehensive and detailed knowledge of image classification and how it can be implemented using a Convolutional Neural Network (CNN) model. Moreover, the source is working on image processing with Python and also will learn about the CNN. Finally, the code provides an end-to-end model to process and identify the Covid X-Ray images with CNN. For the purpose, we used both "COVID-19 Radiography Database" and "Actualmed COVID-19 Chest X-ray Dataset Initiative" for training our model. This source code is based on the Covid_detection_CNN repository.
The instructions are as follows. We assume that you already have knowledge over Git and GitHub. If not, please follow this support information. Any need for support, just open a New issue.
We are thrilled to guide newcomers into our dataset repository. We want to use this repository to distribute the best data and loading pipeline for the presented dataset. The following guidelines will instruct how to obtain and use this data.
1.1. Clone the project repository:
git clone [email protected]:opprDev/stopcorona.git
1.2. Go inside the project folder:
cd stopcorona/
In this section, we describe the repository information for showing the components of the presented source. Further, we will describe important information that will be crucial to embrace the current repository.
TODO: include people
Copyright © 2019 oppr
The stopcorona repository is distributed under the terms of MIT license and the present information is covered by this. You are free to make changes and use this in either personal or commercial projects. Attribution is not required, but it is welcomed. A little "Thanks!" (or something to that affect) would be much appreciated.
Our organization is a non-profit organization. However, we have many needs across our activity. From infrastructure to service needs, we need some time and contribution, as well as help, to support our team and projects.
This project exists thanks to all the people who contribute. [Contribute].
Thank you to all our backers! 🙏 [Become a backer]
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