Research
Cellular
The visual-textual integrator of iFood achieved an accuracy of 51.38% in identifying diet images and information.
The accuracy of the app's data integration can be improved for better dietary insights.
StrongSupportsmedium confidence
After applying machine learning algorithms to integrate the identification results of texts and images, we obtained 1,286 diets images and information with the visual-textual integrator accuracy of 51.38%.
Why this rating
The study involved quantitative analysis of the app's performance.
Source
iFood, a Social Media-based Applet for Dietary Management: Development and Usability Study (Preprint)
Jiao Li et al. · 2022
DOI 10.2196/preprints.44826
other · n=96
Read the paper DOI resolved against Crossref · corpus check 2026-06-10
More from this paper
- iFood is an effective tool for managing individual dietary behaviors through its seamless integration with social media data and accurate analysis capabilities.Strong
- iFood collects and analyzes dietary data from social media, providing insights into nutrient intake and diet category distribution.Strong
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