Waste classifcation

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  accuracy

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  also accuracy

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  loss

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  testing

Inspired by global warming 💀🌡

Thus, we built a model, that predicts the category of an object on the photo. If implemented in sorting centers, this will dramatically speed up waste recycling. To build the model we read a lot and after we experimentally chose the best values, that suited our model.

Accomplishments that we're proud of

You can give a photo to our model, which will provide you with the category of that object. (Now it is just a prototype, so our application has basic DUI)

What we learned

Working with data and making insights with the help of Machine Learning.

What's next for Waste classification 🤔

Implement it in waste sorting centers to sort more waste in less time. You can contact us to know the details. We are open to collaborations

Enjoy 😀

code is here results are here

Experimental selection of the values

Built With

• keras
• matplotlib
• numpy
• os
• pandas
• python
• tensorflow