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Waste Detection in the Wild - Use Instance segmentation model that segments and classifies the litter found in different environments. Deployment is done using StreamlitCloud.

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Name		Name	Last commit message	Last commit date
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.idea		.idea
Colab		Colab
Short Report		Short Report
assets		assets
hide		hide
.gitattributes		.gitattributes
README.md		README.md
img.jpg		img.jpg
main.py		main.py
model_final.pth		model_final.pth
my_metadata		my_metadata
requirements.txt		requirements.txt

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Waste Detection in the Wild

This project was part of ZAKA AI Certification Program 2022. Goal: Detect Litter in Nature by Image Segmentation

Report:

You can find more info in this report: https://github.com/Nabil-Miri/mystreamlit/blob/main/Short%20Report/Milestone%203.pdf

[UPDATE 2023: Currently there is an error, seems like something has changed in streamlit or version of the library]

[Link: https://nabil-miri-mystreamlit-main-jc5p5m.streamlit.app/] (Note: Just wake up the app if it is asleep)

Downlaod Dataset:

Either from here: https://zenodo.org/record/3587843#.Y4xym3bMJPY or from the download.py file in the TACO main repo: https://github.com/pedropro/TACO

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Waste Detection in the Wild - Use Instance segmentation model that segments and classifies the litter found in different environments. Deployment is done using StreamlitCloud.

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