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.
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Use this if you need an initial system to identify common waste types from images to support recycling efforts or public education.
Not ideal if you require extremely high classification accuracy out-of-the-box for critical sorting operations, as this model serves more as a foundational example.
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Feb 20, 2022
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