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使用众包食品图像数据来评估餐厅营养环境:一个验证研究
Weixuan Lyu1,2, Nina Seok2, Xiang Chen1
1Department of Geography, University of Connecticut, Storrs, CT 06269, USA.
Nutrients
|October 14, 2023
概括
众包食物图像可以帮助评估餐厅的营养,但有偏见. 将这些数据与其他来源相补充对于全面了解餐厅营养环境至关重要.
科学领域:
- 营养科学 营养科学
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 众包食品图像和图像识别提供了一种可扩展的方法来评估餐厅营养环境.
- 之前的研究证实了食品图像识别技术的准确性.
- 众包图像作为大规模评估的主要数据来源的有效性仍未得到充分探索.
研究的目的:
- 综合检查使用众包食品图像来评估餐厅营养环境的有效性.
- 评估众包数据的代表性,以了解餐厅营养质量和客户饮食行为.
主要方法:
- 从大哈特福德地区的多个来源收集数据.
- 检查了众包食品图像对餐厅营养评估的有效性.
- 在众包食品图像数据中分析了潜在的选择偏差.
主要成果:
- 众包食品图像对于最初的餐厅营养质量评估和识别受欢迎的食品很有用.
- 众包数据在多个层面上表现出选择偏差.
- 这些数据并不完全代表餐厅营养的整体质量或客户的饮食行为.
结论:
- 众包食品图像提供了有价值的初步评估工具,但作为唯一的数据来源是不够的.
- 用现场调查,商店审计和商业数据补充众包图像数据对于代表性评估至关重要.
- 建议采用多源数据方法来准确评估餐厅营养环境.
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