Case Study: SnapCalorie boosts model prototyping speed and reduces labeling time with Roboflow

Using AI to Count Calories from Photos with SnapCalorie

SnapCalorie, a mobile app that helps users estimate calories and macros from meal photos, needed a faster way to manage growing amounts of computer vision data and improve its model accuracy as the user base expanded. The team wanted best-in-class tools for dataset management, labeling, annotation, and model development, and chose Roboflow to support that workflow.

Using Roboflow Annotate and related dataset management tools, SnapCalorie streamlined uploading, searching, assigning, reviewing, and approving annotations, including AI-assisted labeling and external labeler management. Roboflow helped SnapCalorie increase model prototyping speed by 1200% and reduce labeling time per image by 80%, enabling faster iteration and more efficient training as their dataset grew.

SnapCalorie

Wade Norris

Co-founder/CEO