https://github.com/pskinnertech/oxford-flowers-resnet50-classifier
A production-ready PyTorch implementation for classifying 102 flower species using transfer learning with ResNet-50. Complete tutorial with step-by-step documentation achieving 67% accuracy on the Oxford 102 Flowers dataset.
https://github.com/pskinnertech/oxford-flowers-resnet50-classifier
Last synced: 9 months ago
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A production-ready PyTorch implementation for classifying 102 flower species using transfer learning with ResNet-50. Complete tutorial with step-by-step documentation achieving 67% accuracy on the Oxford 102 Flowers dataset.
- Host: GitHub
- URL: https://github.com/pskinnertech/oxford-flowers-resnet50-classifier
- Owner: PSkinnerTech
- License: mit
- Created: 2025-06-08T22:26:21.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2025-06-08T22:36:40.000Z (about 1 year ago)
- Last Synced: 2025-06-08T23:25:56.808Z (about 1 year ago)
- Language: Python
- Size: 0 Bytes
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE