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SnapCalorie uses artificial intelligence to estimate the calorie content of a meal from a photo

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SnapCalorie uses artificial intelligence to estimate the calorie content of a meal from a photo

Former Google employee Wade Norris and engineer Scott Baron created the SnapCalorie app, which measures the calories and macronutrients of a meal from a single photo.

What is known

According to the developers, SnapCalorie combines many new technologies and algorithms for counting calories. The program also uses depth sensors on supported devices to measure portion sizes and a team of human reviewers to “additional level of quality”.

To train the algorithms, the developers used a dataset of 5,000 dishes. It contains thousands of photos of each culinary product, such as soups, burritos, butter, “mysterious sauces” and others.


Results can be recorded in a nutrition log or exported to fitness tracking platforms.

Norris acknowledged that SnapCalorie’s algorithm may be biased towards American food, as the team collected much of the raw data for training in the US. But the company is in the process of expanding the dataset to include other cultural cuisines.

Norris doesn’t claim that SnapCalorie is 100% accurate, suggesting that the app’s calorie-counting tools are just part of a larger nutritional puzzle.

Source: TechCrunch.





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