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.

Date Created 2021-06-23 (3 years ago)

Commits 39 (last one 2 years ago)

Stargazers 41 (0 this week)

Watchers 3 (0 this week)

Forks 14

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these deepak2233/Waste-or-Garbage-Classification-Using-Deep-Learning is ranked #515,470 (13th percentile) for total stargazers, and #427,587 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,113/17,543.

deepak2233/Waste-or-Garbage-Classification-Using-Deep-Learning is also tagged with popular topics, for these it's ranked: deep-learning (#7,680/8512), opencv (#818/941), cnn (#494/556)

All Topics

cnn vgg16 opencv resnet-50 deep-learning tranfer-learning

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11 commits on the default branch (main) since jan '22

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updated: 2024-12-21 @ 10:35am, id: 379576183 / R_kgDOFp_fdw