[Project Addition] : Covid-19 X-Ray Image Classification #689
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Pull Request for DL-Simplified 💡
Issue Title : [Project Addition] : Covid-19 X-Ray Image Classification
JWOC Participant
) GSSOC-2024 contributorCloses: #664
Describe the add-ons or changes you've made 📃
1.) Using 5 different available network architectures such as DenseNet121 , Xception , VGG16 etc. to do catagorical classification for chest X-ray images to detect COVID19 symptom .
2.) use data augmentation techniques to improve the accuarcy of models.
3.) Comparing performance and accuracy of models using accuracy score ,loss and accuracy graph , confusion matrix for better understanding.
4.) Perfroming EDA (data analysis) for dataset to understand the structure of data.
5.) Using README file for describing the work I've performed.
Type of change ☑️
What sort of change have you made:
How Has This Been Tested? ⚙️
Describe how it has been tested
Describe how have you verified the changes made
Checklist: ☑️