Shypd.aiThe largest open index of AI toolstrashnet is an open-source dataset and Torch-based CNN for garbage image classification. It provides a dataset of trash images across six classes and a convolutional neural network achieving around 75% test accuracy.
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trashnet offers a comprehensive dataset of trash images, categorized into six classes: glass, paper, cardboard, plastic, metal, and general trash. This dataset, comprising 2527 images, was collected using various iPhone models under natural lighting conditions and is available for download via Google Drive. Alongside the dataset, trashnet provides the code for a Torch-based convolutional neural network (CNN) designed for garbage image classification. The CNN, developed as a final project for Stanford's CS 229, has achieved approximately 75% test accuracy. The repository includes installation instructions for Lua and Python dependencies, as well as guidance for setting up CUDA for GPU acceleration, making it a valuable resource for students and researchers in machine learning and environmental studies.
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