Make a Pi Trash Classifier with Machine Learning and Lobe

The Trash Classifier project, affectionately known as "Where does it go?!", is designed to make throwing things away faster and more reliable.

This project uses a Machine Learning (ML) model trained in Lobe, a beginner-friendly (no code!) ML model builder, to identify whether an object goes in the garbage, recycling, compost, or hazardous waste. The ML model is loaded onto a Raspberry Pi computer to make it usable wherever you might find rubbish bins!

This tutorial walks you how to create your own Trash Classifier project on a Raspberry Pi from a Lobe TensorFlow Lite model in Python3.

Difficulty: Beginner++ (some knowledge w/ circuits and coding is helpful)

Read Time: 10 min

Build Time: 60 - 90 min