Chinese Food Images for Full-cycle Nutrition Analysis Towards Diabetes Management
收藏科学数据银行2025-09-17 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=d2f2d7cccecb49739b7428066741fb39
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资源简介：
Public food image datasets have primarily focused on recognition or segmentation, with limited resources for comprehensive nutrition analysis, particularly for Chinese cuisine which exhibits high nutritional variability due to diverse cooking methods and regional influences. To address this gap, we introduce a multimodal food image dataset designed to support full-cycle nutritional analysis, including segmentation, category recognition, and nutrient content estimation, tailored specifically to diabetic diets. This dataset is aligned with clinical data from Chinese diabetes cohorts to facilitate accurate dietary management and glucose prediction. It provides a valuable resource for advancing computational methods in meal-level nutrition assessment for diabetic populations.
提供机构：
Chenwei Wu; Shanghai Dianji University; Shanghai Fourth People's Hospital; Juliang Xu; Congrong Wang; Yuanxin Jin; Weixiong Rao; Qinpei Zhao; University of Eastern Finland; Jiangfeng Li
创建时间：
2025-09-15
