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My Food Model
M
My Food Model
Developed by iammartian0
基于Google Vision Transformer (ViT)架构的食品图像分类模型，在Food101数据集上微调，准确率达90.9%
Downloads 18
Release Time : 2/22/2023
Model Overview
该模型是基于Google的ViT-base-patch16-224-in21k预训练模型，在Food101数据集上进行微调得到的食品图像分类模型。主要用于识别101种不同类别的食品图像。
Model Features
高准确率
在Food101数据集上达到90.9%的分类准确率
基于ViT架构
使用Vision Transformer架构，具有强大的图像特征提取能力
小样本微调
仅使用5000个训练样本进行微调即获得良好效果
Model Capabilities
食品图像分类
101类食品识别
Use Cases
食品识别
餐厅菜品识别
用于餐厅自动识别顾客拍摄的菜品照片
准确识别101种常见食品
营养分析应用
在健康应用中自动识别用户拍摄的食物照片
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