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Swin Finetuned Food101
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Swin Finetuned Food101

Developed by skylord
An image classification model fine-tuned on the Food101 dataset based on the Swin Transformer architecture, achieving an accuracy of 92.14%
Image Classification
Transformers
Open Source License:Apache-2.0#Food Image Classification#High-precision Recognition#Swin Transformer
Downloads 258
Release Time : 6/20/2022

Model Overview

This model is an image classification model fine-tuned on the food101 dataset based on microsoft/swin-base-patch4-window7-224, specifically designed for food image classification tasks.

Model Features

High Accuracy
Achieves 92.14% accuracy on the Food101 evaluation set
Based on Swin Transformer
Utilizes the advanced Swin Transformer architecture with excellent visual feature extraction capabilities
Specialized for Food Classification
Optimized specifically for 101 food categories

Model Capabilities

Food Image Classification
Multi-category Image Recognition

Use Cases

Food and Beverage Industry
Automatic Dish Recognition
Used in automatic dish classification systems for restaurants or food delivery platforms
Accurately identifies 101 common food categories
Health Management
Diet Recording Application
Helps users automatically record dietary content by taking photos
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