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| 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](https://www.kaggle.com/datasets/mostafaabla/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 |