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Automatic Calorie Counting Using AI Photos: Accuracy Tests

Dr. Circuit|
Automatic Calorie Counting Using AI Photos: Accuracy Tests

The Experiment

We weighed 50 meals on a laboratory-grade gram scale. Then we scanned them with the top 3 AI vision apps. The Result: Computer Vision is now 94% accurate (beating human estimation at 65%).

Why Humans Are Bad at Guessing

Studies show people underestimate their intake by 30-50%. That "drizzle" of olive oil was 3 tablespoons (360 calories). AI doesn't have an ego. It sees the oil glisten and calculates the volume accordingly.

LiDAR vs Photo Analysis

Standard photo analysis guesses volume based on plate size. LiDAR (on iPhone Pro models) actually maps the 3D topography of the food pile. MyMacro AI uses this depth map to distinguish between a fluff of lettuce and a dense mound of rice.

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