Dataset of trash objects for waste classification and detection
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Updated
May 21, 2023
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.
A computer vision application that helps classify waste items into appropriate disposal bins using a deep learning model.
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.
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
Code for Automatic Trash Classification using Convolutional Neural Network Machine Learning paper, published in 2019 IEEE Conference on Cybernetics and Intelligent Systems.
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.
Klasifikasi gambar sampah dengan menggunakan Convolutional Neural Network
Fine-tuning EfficientNet-B0 for trash classification on Google Cloud TPUs using PyTorch/XLA.
🗑️ Classifying images of trash (glass, metal, paper, plastic) using neural networks.
Aquatic plastic litter detection, classification and quantification
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.
Web backend of machine learning trash classification system
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