This repo presents a convolutional neural network (CNN) model designed to classify images of garbage into six categories. The goal was to improve the efficiency of waste management and recycling processes by automating the classification of garbage. We introduce a sequential CNN model trained on a dataset comprising images of cardboard, glass, metal, paper, plastic, and trash, showing promising results in automated waste sorting.
See Paper for more details.