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Food Image Classification
F
Food Image Classification
Developed by Shresthadev403
基于Food101数据集训练的食品图像分类模型，准确率达88.31%
Downloads 531
Release Time : 2/4/2024
Model Overview
该模型是一个用于食品图像分类的视觉模型，能够识别Food101数据集中包含的101类食品。
Model Features
高准确率
在Food101评估集上达到88.31%的分类准确率
高效推理
每秒可处理96.74个样本，适合实时应用场景
精细分类
能够识别101种不同类别的食品
Model Capabilities
食品图像分类
多类别识别
Use Cases
餐饮行业
智能菜单识别
用于餐厅自动识别顾客拍摄的菜品照片
可快速准确地识别菜品类别
食品日志应用
帮助用户记录每日饮食内容
自动识别并分类用户拍摄的食物照片
健康管理
饮食分析
分析用户的饮食习惯和营养摄入
通过食物分类提供饮食建议
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