A newer version of the Gradio SDK is available:
5.24.0
Waste Classification Demo
This interactive demo allows you to classify waste items using various deep learning models. Choose a model, upload an image of a waste item, and click the "Predict" button to view the top three predicted classes and their confidences. The project was developed by Ilyesse Hettenbach and Gabriel Schurr as part of a project work at the University of Applied Sciences Karlsruhe.
Enjoy using the Waste Classification Demo to classify waste items and explore the capabilities of different deep learning models!
Models
The demo currently supports the following models: EfficientNet-B3, EfficientNet-B4, VGG19, ResNet50, and DinoV2 in its smallest variant. The models were primarily trained on data we generated.