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Fridge Items Model V2
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Fridge Items Model V2
Developed by stchakman
This is an image classification model built based on PyTorch and HuggingPics, specifically designed to recognize various food and items in refrigerators.
Downloads 20
Release Time : 3/22/2023
Model Overview
The model can identify common food and items in refrigerators, such as fruits, vegetables, meats, dairy products, etc. It is suitable for smart refrigerators, food inventory management, and other scenarios.
Model Features
Multi-category Recognition
Capable of recognizing over 50 different categories of common refrigerator items and food.
Easy to Use
Automatically generated via HuggingPics tools, making it easy to deploy and use.
Custom Training
Supports user-based model training and optimization with their own datasets.
Model Capabilities
Image Classification
Food Recognition
Item Recognition
Use Cases
Smart Home
Smart Refrigerator Food Management
Automatically identifies food in the refrigerator and records inventory.
Improves food management efficiency and reduces waste.
Retail Analysis
Supermarket Freezer Item Recognition
Identifies the types and quantities of items in freezers.
Assists in inventory management and sales analysis.
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