Waste-or-Garbage-Classification-Using-Deep-Learning and CNN-Plastic-Waste-Classification

About Waste-or-Garbage-Classification-Using-Deep-Learning

deepak2233/Waste-or-Garbage-Classification-Using-Deep-Learning

This model is created using pre-trained CNN architecture (VGG16 and RESNET50) via Transfer Learning that classifies the Waste or Garbage material (class labels =7) for recycling.

This project helps classify waste materials for recycling programs. You input an image of a waste item, and it tells you if it's cardboard, compost, glass, metal, paper, plastic, or trash. This is for anyone involved in waste management, recycling education, or environmental awareness who needs to quickly categorize waste items.

About CNN-Plastic-Waste-Classification

Hardik-Sankhla/CNN-Plastic-Waste-Classification

A deep learning-based Plastic Waste Classification system using Convolutional Neural Networks (CNNs) to categorize waste into recyclable and non-recyclable materials. This project aims to support sustainable waste management by leveraging AI-powered image classification.