Built an image classification model using ResNet50

[Davisonyeas]

Added a new folder that contains a Jupyter Notebook file of an image classification model built using ResNet pre-trained model

[Sammybams]

This is some amazing input @Davisonyeas. Thank you very much for this contribution. We will be rounding up data collection for this project soon and so you will be able to test with all the different images we have been able to gather.

There are also the .DS_Store files that accompany your commit (automatically generated by your macOS), so I have just added that to the .gitignore and would suggest you use the command below to remove the files.

find . -name ".DS_Store" -print -delete

Or you could use GitHub Codespaces on your fork to avoid cloning down to your repo to save storage and data due to images that have been resized on the repo. So you don't clone the full history unless you are using a --depth 1 command in addition to your clone and pull commands.

[Davisonyeas]

Thanks a lot sir @Sammybams, I will do that next time. Can I start writing the code for the streamlit deployment?

[Sammybams]

Thanks a lot sir @Sammybams, I will do that next time. Can I start writing the code for the streamlit deployment?

Yes definitely you can, @Davisonyeas.