Borda / kaggle_COVID-detection

Identify and localize COVID-19 abnormalities on chest radiographs.

Home Page:https://borda.github.io/kaggle_COVID-detection

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Kaggle: COVID-19 Detection

CI complete testing Code formatting codecov pre-commit.ci status

In this competition, you’ll identify and localize COVID-19 abnormalities on chest radiographs. In particular, you'll categorize the radiographs as negative for pneumonia or typical, indeterminate, or atypical for COVID-19. Organizers provided dataset - imaging data and annotations from a group of radiologists.

Sample images

In other words the task to solve is image classification accompanied by attention

  • user shall classify patient COVID19 situation and also tell why think so, what are the regions in the scan that makes him think this case is positive.

Label distribution

Experimentation

install this tooling

A simple way how to use this basic functions:

! pip install https://github.com/Borda/kaggle_COVID-detection/archive/main.zip

see local notebook

run notebooks in Kaggle

some results

Training progress with ResNet50 with training for 50 epochs:

Training process Training process

ezoic increase your site revenue

About

Identify and localize COVID-19 abnormalities on chest radiographs.

https://borda.github.io/kaggle_COVID-detection

License:MIT License


Languages

Language:Jupyter Notebook 99.2%Language:Python 0.8%