https://github.com/shojiyao12/grocerynet_webapplication
A GroceryNet application built using Streamlit for the classification and segmentation of grocery product images. The system leverages a multicolor dual-input CNN model with parallel U-Net architecture and pre-trained ResNeXt50_32x4d encoders. It uses the Hierarchical Grocery Store Dataset for training and evaluation.
https://github.com/shojiyao12/grocerynet_webapplication
grocery-store image-classification image-segmentation streamlit-webapp u-net-pytorch
Last synced: 7 months ago
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A GroceryNet application built using Streamlit for the classification and segmentation of grocery product images. The system leverages a multicolor dual-input CNN model with parallel U-Net architecture and pre-trained ResNeXt50_32x4d encoders. It uses the Hierarchical Grocery Store Dataset for training and evaluation.
- Host: GitHub
- URL: https://github.com/shojiyao12/grocerynet_webapplication
- Owner: Shojiyao12
- Created: 2025-03-14T10:17:02.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-14T10:57:31.000Z (7 months ago)
- Last Synced: 2025-03-14T11:28:07.855Z (7 months ago)
- Topics: grocery-store, image-classification, image-segmentation, streamlit-webapp, u-net-pytorch
- Language: Python
- Homepage:
- Size: 87.9 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md