Saeejith Nair, Chi-en Amy Tai, Yuhao Chen, Alexander Wong
TL;DR通过物理模拟生成多样化逼真的餐食图片,克服数据限制,并驱动计算机视觉自动膳食评估的进步。
Abstract
Manually tracking nutritional intake via food diaries is error-prone and burdensome. Automated computer vision techniques show promise for dietary monitoring but require large and diverse food image datasets. To address this need, we introduce NutritionVerse-Synth (NV-Synth), a large-s