DailyFood-172

该数据集名为DailyFood-172，包含了从日常生活菜肴中捕获的食物图像，其特意与VIREO Food-172数据集保持一致。所有图像都被调整至280×280像素的大小，并通过从每个菜品类别中选择多个菜谱的图像来确保多样性。该数据集的规模为42,312张图像，每个类别最少有47个样本，最多有329个样本。其任务是进行食品的识别与分类。

This dataset, named DailyFood-172, comprises food images captured from everyday dishes, and is intentionally aligned with the VIREO Food-172 dataset. All images have been resized to a resolution of 280×280 pixels, and diversity is guaranteed by selecting images of multiple recipes under each dish category. The dataset contains a total of 42,312 images, with each category having a minimum of 47 samples and a maximum of 329 samples. The task of this dataset is food recognition and classification.

搜集汇总

背景与挑战

背景概述

DailyFood-172是一个食物相关数据集，提供在Google Drive上，包含分布分析图像文件。该数据集可能用于食物分类或统计研究，但详情页缺乏具体描述。