Dataset of trash objects for waste classification and detection

Attentional Learning of Trash Classification

Underwater Trash Detection

automatic trash separator using yolo, mtcnn

CNN Image classification of trash of 6 categories in tensorflow and pytorch

Classification of trash images using Convolutional Neural nets

Sorts recycling and trash using computer vision

In this project, we have tried to classify garbage under the same categories as provided by the Waste Regulations 2011.

Self-collected trash dataset used in AlphaTrash project. Contains 5600+ images of trash gathered in Thailand, sorted into general, metal, organic, paper, and plastic wastes.

On prototype, Modeling trash with CNN method

Web backend of machine learning trash classification system

Code for Automatic Trash Classification using Convolutional Neural Network Machine Learning paper, published in 2019 IEEE Conference on Cybernetics and Intelligent Systems.

A group research project about AI Image Classification for Trash Sorting for the Research Methodology in Computer Science subject conducted by students at Bina Nusantara University

This project compares MobileNetV2 and a custom CNN model for trash classification, using feature extraction techniques like edge detection and Local Binary Patterns (LBP). Results show that MobileNetV2 without explicit feature extraction achieves the highest accuracy, providing insights for improving waste management applications.

Aquatic plastic litter detection, classification and quantification

🗑️ Classifying images of trash (glass, metal, paper, plastic) using neural networks.

Klasifikasi gambar sampah dengan menggunakan Convolutional Neural Network

A deep learning-based web application that classifies different types of waste materials using computer vision. The system helps in proper waste segregation by identifying whether an item belongs to categories like cardboard, glass, metal, paper, plastic, or trash.