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

These are competitors offering alternative CNN-based approaches to waste image classification, with A providing more granular multi-class categorization (cardboard-level specificity) versus B's binary organic/recyclable distinction.

AI-powered-Waste-Classification-System-using-deep-learning
41
Emerging
Waste-Classification
35
Emerging
Maintenance 10/25
Adoption 4/25
Maturity 15/25
Community 12/25
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 14/25
Stars: 5
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 9
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 Waste-Classification

aniass/Waste-Classification

Waste image classification into organic or recyclable ones with CNN algorithm.

This tool helps individuals or organizations sort waste more effectively by classifying images of trash as either organic or recyclable. You provide an image of a waste item, and the tool tells you its category, assisting with proper disposal. This is ideal for anyone managing waste, from homeowners to facility managers, who wants to improve recycling accuracy.

waste-management recycling sustainability waste-sorting environmental-stewardship

Related comparisons

AI-powered-Waste-Classification-System-using-deep-learning and CNN-Plastic-Waste-Classification AI-powered-Waste-Classification-System-using-deep-learning and waste-classification-model AI-powered-Waste-Classification-System-using-deep-learning and Waste-or-Garbage-Classification-Using-Deep-Learning AI-powered-Waste-Classification-System-using-deep-learning and CNN-Plastic-Waste-Classification

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