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Smart Waste Segregator (Classifier)

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Smart Waste Segregator (Classifier)

Deep Learning based waste segregation project to classify waste images into different classes.


The current recycling process often requires recycling facilities to sort by hand. Consumers can also be confused about the correct way to recycle materials.

By using computer vision, we can predict the category of recycling of an object based on an image of it.


Developed a CNN Model with classification layers using Keras and Tensorflow. The dataset contained total 2527 images and further data augmentation was done on it.

Waste can be Segregated into the following categories:

  • Cardboard
  • Glass
  • Metal
  • Paper
  • Plastic
  • Trash

Validation Accuracy 80%

Try It Out 🔥

Try it out yourself at 🌐 classify-waste.herokuapp.com