Patent ID: 11887260
Assignee: SNAP INC.
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 12:
13. The method of claim 1, further comprising training a neural network classifier to determine a real-world environment classification, wherein the real-world environment classification is used to select a position for the AR item, and wherein the neural network is trained by performing operations comprising:
receiving training data comprising a plurality of training images and ground truth real-world environment classifications for each of the plurality of training images, each of the plurality of training images depicting a different type of real-world environment;
applying the neural network classifier to a first training image of the plurality of training images to estimate a real-world environment classification of the real-world environment depicted in the first training image;
computing a deviation between the estimated real-world environment classification and the ground truth real-world environment classification associated with the first training image; and
updating parameters of the neural network classifier based on the computed deviation.