Waste-or-Garbage-Classification-Using-Deep-Learning and 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 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.
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