© Consumes your monthly credits. Limited amount of monthly calls, exceeding calls will be charged as extras.

(D) Limited amount of daily calls per user.

(S) Limited amount of calls per second.

Given an image, it segments and detects each food item or food region appearing on it. Then the most probable dishes are recognized for each of the regions separately. These dishes come with their names, the corresponding ids and the associated probabilities (confidence).

Note that the segmentation_results, which contain the bounding boxes and segments detected, might not be directly applicable to the uploaded image size. The segmentation pixel values are scaled depending on the 'processed_image_size' values provided for each of the images (the images might be sometimes resized depending on the needs of the food recognition algorithms used).

Geographic Personalization: we recommend setting the country parameter associated to the end-user (APIUser) before applying any food recognition/segmentation call. See any /modifyUserProfileInfo endpoint for additional details.

If you have a LogMeal Recommend plan or higher we recommend using the /segmentation/complete/quantity endpoint, instead. It provides the same information in the current endpoint and furthermore it automatically estimates the food quantity present on the picture.