trash-classification

Dataset of trash objects for waste classification and detection

Attentional Learning of Trash Classification

Underwater Trash Detection

automatic trash separator using yolo, mtcnn

Classification of trash images using Convolutional Neural nets

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

Sorts recycling and trash using computer vision

On prototype, Modeling trash with CNN method

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.

KI-gestützte Mülltrennung über deine Webcam / AI-driven trash sorting through your webcam - Lite-Version meines Jugend forscht-Siegerprojekts SortiMate, ohne zusätzliche Hardware

A simple AI project using Google Teachable Machine to classify trash into categories like plastic, paper, metal, glass, and organic. Runs in the browser using TensorFlow.js with a user-friendly interface. Helps promote recycling and eco-friendly waste management.

Part of my Final Year Project (FYP), this web application allows platform administrators to manage users, shops, the point system, and feedback within an AI-powered waste management & recycling rewards system. It ensures smooth operation, security, and compliance for the Trash to Treasure platform.

Aplicativo mobile para classificação de resíduos recicláveis

Klasifikasi gambar sampah dengan menggunakan Convolutional Neural Network

A CNN model that automatically classifies waste (plastic, paper, metal, glass, cardboard, trash) to boost recycling efficiency. Trained on the TrashNet dataset, it accurately identifies different materials, reducing sorting errors and simplifying waste management.

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.

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

Fine-tuning EfficientNet-B0 for trash classification on Google Cloud TPUs using PyTorch/XLA.

Web backend of machine learning trash classification system