README.md

metadata

license: mit
sdk: gradio
colorFrom: blue
colorTo: green
short_description: Recycling Waste Classifier (12 Classes)
sdk_version: 5.34.2

Recycling Waste Classifier (12 Classes)

This is a Gradio-powered web app that classifies images of waste into 12 categories:
battery, biological, brown-glass, cardboard, clothes, green-glass, metal, paper, plastic, shoes, trash, white-glass.

Upload a photo of a waste item and the model will predict the most likely material class, helping you recycle more efficiently.

How to use

• Click "Upload" and select an image of a waste item.
• The model will display the top 3 class predictions and probabilities.

Model Info

• Architecture: ResNet34
• Framework: fastai (PyTorch backend)
• Dataset: Kaggle - Garbage Classification
• Accuracy: ~97% on validation set

Example Categories

• battery, biological, brown-glass, cardboard, clothes, green-glass, metal, paper, plastic, shoes, trash, white-glass

Credits

• Dataset: Kaggle Garbage Classification
• Model: fastai, PyTorch, Gradio