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Fridge Items Model

Developed by stchakman
This model is used to classify common refrigerator items, supporting recognition of multiple food and beverage categories.
Downloads 20
Release Time : 3/22/2023

Model Overview

A PyTorch-based image classification model specifically designed to identify and categorize common items in refrigerators, such as fruits, vegetables, meats, dairy products, etc.

Model Features

Multi-category Recognition
Capable of recognizing over 50 different categories of common refrigerator items
Food Classification
Classification capability specifically optimized for food and beverages
Easy Integration
Can be easily integrated into applications via HuggingPics

Model Capabilities

Image Classification
Food Recognition
Item Classification

Use Cases

Smart Refrigerators
Food Inventory Management
Automatically identifies items in the refrigerator and updates inventory
Helps users track food expiration dates and inventory levels
Shopping List Generation
Automatically generates shopping suggestions based on refrigerator contents
Reduces food waste and duplicate purchases
Retail Analytics
Consumer Behavior Research
Analyzes refrigerator contents to understand consumption habits
Provides market insights for retailers
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