US 12,248,873 B2
Computer-implemented method and system for generating a synthetic training data set for training a machine learning computer vision model
Pooja Rangarajan, Wolfsburg (DE); Nikhil Gupta, Braunschweig (DE); Andre Breitenfeld, Berlin (DE); Andreas Müller, Calberlah (DE); Sebastian Schulz, Uelzen (DE); Sheng Ling, Braunschweig (DE); Thomas Kammerlocher, Calberlah (DE); and Fabian Baier, Gehrden (DE)
Assigned to VOLKSWAGEN AKTIENGESELLSCHAFT, (DE)
Filed by VOLKSWAGEN AKTIENGESELLSCHAFT, Wolfsburg (DE)
Filed on May 27, 2022, as Appl. No. 17/804,442.
Claims priority of application No. 21179758 (EP), filed on Jun. 16, 2021.
Prior Publication US 2022/0405587 A1, Dec. 22, 2022
Int. Cl. G06N 3/08 (2023.01); G06V 10/22 (2022.01); G06V 10/771 (2022.01); G06V 10/82 (2022.01)
CPC G06N 3/08 (2013.01) [G06V 10/235 (2022.01); G06V 10/771 (2022.01); G06V 10/82 (2022.01)] 25 Claims
OG exemplary drawing
 
1. A system for generating a synthetic training data set for training a machine learning computer vision model for performing at least one user defined computer vision task, in which spatially resolved sensor data are processed and evaluated with respect to at least one user defined object of interest, the system comprising:
a user interface configured to provide a user input device for user input data being input by a user with respect to at least one model of an object of interest;
a training data generation unit configured to:
determine a plurality of render parameters based on user input data, wherein the user input data sets a plurality of boundary values for at least one of the plurality of render parameters,
generate a set of training images by rendering the at least one model of the object of interest based on the at least one render parameter, and
generate annotation data for the set of training images with respect to the at least one object of interest,
wherein the training data generation unit receives the at least one model of the user defined object of interest based on user input data received via the user interface,
wherein the training data generation unit determines the at least one render parameter which is included in a plurality of render parameters determined by the training data generation unit based on user input data received via the user interface, and
wherein the training data generation unit provides a training data set comprising the set of training images and the annotation data for output to the user and/or for training the computer vision model.