US 11,669,593 B2
Systems and methods for training image processing models for vehicle data collection
Thomas Arthur Walli, Hamilton (CA); William John Ballantyne, Aurora (CA); Javed Siddique, York (CA); and Amir Antoun Renne Sayegh, Hamilton (CA)
Assigned to Geotab Inc., Oakville (CA)
Filed by Geotab Inc., Oakville (CA)
Filed on Mar. 18, 2021, as Appl. No. 17/205,961.
Claims priority of provisional application 63/162,295, filed on Mar. 17, 2021.
Prior Publication US 2022/0300759 A1, Sep. 22, 2022
Int. Cl. G06K 9/62 (2022.01); G06K 9/00 (2022.01); G06K 9/20 (2006.01); G06F 18/40 (2023.01); G06V 20/59 (2022.01); G06V 10/22 (2022.01); G06F 18/24 (2023.01); G06F 18/214 (2023.01)
CPC G06F 18/40 (2023.01) [G06F 18/2148 (2023.01); G06F 18/24 (2023.01); G06V 10/235 (2022.01); G06V 20/59 (2022.01); G06V 2201/02 (2022.01)] 19 Claims
OG exemplary drawing
 
1. A method comprising:
accessing an image of a field of interest in a vehicle captured by a camera in the vehicle;
providing a user interface to:
display the image;
receive input that defines a region of interest in the image that is expected to convey vehicle information; and
receive input that assigns a label to the region of interest that associates the region of interest with an image processing model that is to be trained to extract a type of vehicle information from the region of interest; and
contributing the image, labelled with the region of interest and the label associating the region of interest to the image processing model, to a training data library to train the image processing model.