Covid-19 Test AI (Deep Learning - NNs) Software. Accuracy is the %96.5, loss is the 0.09 :)

Last update: Dec 04, 2021

Overview

Covid-19 Test AI (Deep Learning - NNs) Software

I developed a segmentation algorithm to understand whether Covid-19 Test Photos are positive or negative. I created the model with great precision. Sometimes I trained twice (piece by piece), sometimes once. I save the output of both in .txt file and share with you. I would be pleased to present this project to open source. I hope it has become a software that can be used in the field of health and artificial intelligence.

I can say that it has the features of a software that can detect Covid-19 in real time. In this way, it can be determined that the covid is positive or negative with the image processing + segmentation rule thanks to artificial intelligence without PCR testing.

Kind regards,

Emirhan BULUT

Artificial Intelligence - Deep Learning Engineer

Data Source: DataSource ###The coding language used:

Python 3.9.6

###Libraries Used:

Tensorflow

Keras

pixellib

OpenCV

PIL

Developer Information:

Name-Surname: Emirhan BULUT

Contact (Email) : [email protected]

LinkedIn : https://www.linkedin.com/in/artificialintelligencebulut/

Kaggle: https://www.kaggle.com/emirhanai

Official Website: https://www.emirhanbulut.com.tr

Covid-19 Test AI (Deep Learning - NNs) Software. Accuracy is the %96.5, loss is the 0.09 :)

Related tags

Overview

Covid-19 Test AI (Deep Learning - NNs) Software

Developer Information:

Owner

Emirhan BULUT

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Covid-19 Test AI (Deep Learning - NNs) Software. Accuracy is the %96.5, loss is the 0.09 :)

Related tags

Overview

Covid-19 Test AI (Deep Learning - NNs) Software

Developer Information:

Owner

Emirhan BULUT

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Semi-automated OpenVINO benchmark_app with variable parameters

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Learning To Have An Ear For Face Super-Resolution

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