Using AI to Count Calories from Photos with SnapCalorie
Blog post from Roboflow
SnapCalorie is a mobile application that leverages artificial intelligence and computer vision to help users make informed dietary choices by accurately estimating the calorie and nutritional content of meals through photos. Developed by a team with expertise from Google AI, MathWorks, and Google [X], the app benefits from advanced computer vision technologies, including contributions from the co-founders of Google Lens and Google Cloud Vision API. By integrating Roboflow, SnapCalorie has significantly increased its model prototyping speed and reduced image labeling time, allowing for rapid improvements and scalability in its AI models. This has enabled them to efficiently manage and annotate large datasets, facilitating quick updates to their models for enhanced accuracy. SnapCalorie's algorithm has demonstrated twice the accuracy of human estimations in portion size logging, and the company is actively seeking beta testers to further refine its technology, underscoring its commitment to transforming dietary tracking through innovative AI solutions.