US 12,111,885 B2
Image dispositioning using machine learning
Mayoore Selvarasa Jaiswal, Austin, TX (US); Anne Elizabeth Gattiker, Austin, TX (US); Matthew Comer, Austin, TX (US); Mary D. Swift, Rochester, NY (US); Ambal Balakrishnan, Austin, TX (US); and Florian Pinel, New York, NY (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Jun. 28, 2021, as Appl. No. 17/359,959.
Prior Publication US 2022/0414396 A1, Dec. 29, 2022
Int. Cl. G06V 20/30 (2022.01); G06F 18/214 (2023.01); G06N 3/08 (2023.01)
CPC G06F 18/214 (2023.01) [G06N 3/08 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving an annotated set of images and an associated text input from each user of a plurality of users, wherein the associated text input from each user comprises a set of questions and answers related to image sharing preferences, and the associated text input is separate from annotations associated with the annotated set of images; and
training, using the annotated set of images and the associated text input from each user of the plurality of users, a neural network model to output an image sharing decision for an unannotated image that is specific to a user.