Patent ID: 11948374
Assignee: WALMART APOLLO, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A method for training a machine learning algorithm to detect text of interest, the method comprising:
executing, by a first control circuit coupled to a memory, a machine learning algorithm stored in the memory;
causing, by the first control circuit, the machine learning algorithm to be executed with a first data set as a first input, wherein the first data set comprises a plurality of captured digital images each depicting an object of interest;
causing, by the first control circuit, the machine learning algorithm to be executed with a second data set as a second input, wherein the second data set comprises a plurality of augmented digital images each depicting a captured digital image augmented with a synthetic text image comprising randomly generated text on a randomly selected background image;
causing, by the first control circuit, the machine learning algorithm to output a machine learning model trained to automatically detect occurrences of vertically oriented text of interest depicted in captured digital images based on the first data set and the second data set; and
executing, by a second control circuit coupled to at least one camera configured to capture one or more digital images of a scene, the machine learning model to automatically detect the vertically oriented text of interest on the object of interest in the captured one or more digital images of the scene.