GitHub / 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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shojiyao12%2FGroceryNet_WebApplication
PURL: pkg:github/Shojiyao12/GroceryNet_WebApplication
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 139 KB
Dependencies parsed at: Pending
Created at: 4 months ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 3 months ago
Topics: grocery-store, image-classification, image-segmentation, streamlit-webapp, u-net-pytorch