AI-powered-Waste-Classification-System-using-deep-learning and CNN-Plastic-Waste-Classification

AI-powered-Waste-Classification-System-using-deep-learning
35
Emerging
CNN-Plastic-Waste-Classification
26
Experimental
Maintenance 10/25
Adoption 4/25
Maturity 9/25
Community 12/25
Maintenance 0/25
Adoption 3/25
Maturity 9/25
Community 14/25
Stars: 5
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 3
Forks: 3
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About AI-powered-Waste-Classification-System-using-deep-learning

Salaar-Saaiem/AI-powered-Waste-Classification-System-using-deep-learning

AI-powered waste classification system using deep learning, Combines a custom CNN and EfficientNet (transfer learning). Achieves 99% training and 95% validation accuracy. Classifies images into cardboard, glass, metal, paper, plastic, and trash. Includes prediction, evaluation, and visualization tools.

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.

Related comparisons

AI-powered-Waste-Classification-System-using-deep-learning and Waste-Classification AI-powered-Waste-Classification-System-using-deep-learning and Waste-Classification

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