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.

opencv

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63 Stars

20 Forks

63 Watchers

Jupyter Notebook Language

100 SrcLog Score

Cost to Build

$21.1K

Market Value

$32.7K

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Growth over time

4 data points · 2025-06-16 → 2026-04-26

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What is the deepak2233/Waste-or-Garbage-Classification-Using-Deep-Learning GitHub project? Description: "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.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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