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Test Model

Developed by Nonem100
This is an image classification model generated based on PyTorch and HuggingPics, with an accuracy rate of 90.18%.
Image Classification
Transformers
#Food Image Classification#High Accuracy Classification#Fast Food Recognition
Downloads 31
Release Time : 3/31/2022

Model Overview

This model is used for image classification tasks and can recognize multiple food categories, such as marshmallows, hamburgers, hot dogs, etc.

Model Features

High Accuracy
Achieves an accuracy rate of 90.18% in image classification tasks.
Ease of Use
Automatically generated via the HuggingPics tool, making it easy to deploy and use quickly.
Multi-category Recognition
Capable of recognizing multiple food categories, including marshmallows, hamburgers, hot dogs, etc.

Model Capabilities

Image Classification
Multi-category Recognition

Use Cases

Food Recognition
Fast Food Classification
Used for automatically identifying and classifying various foods in fast food restaurants.
Accuracy rate reaches 90.18%.
Smart Menu System
Automatically identifies the food selected by customers in a smart menu system.
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