US 12,314,819 B2
Method and control device for generating training data for training a machine learning algorithm
Frank Hutter, Freiburg Im Breisgau (DE); and Samuel Gabriel Mueller, Freiburg Im Breisgau (DE)
Assigned to ROBERT BOSCH GMBH, Stuttgart (DE)
Filed by Robert Bosch GmbH, Stuttgart (DE)
Filed on Mar. 31, 2022, as Appl. No. 17/657,396.
Claims priority of application No. 20 2021 102 338.4 (DE), filed on Apr. 30, 2021.
Prior Publication US 2022/0351498 A1, Nov. 3, 2022
Int. Cl. G06V 10/774 (2022.01); G06N 20/00 (2019.01); G06V 10/764 (2022.01)
CPC G06N 20/00 (2019.01) [G06V 10/764 (2022.01); G06V 10/774 (2022.01)] 15 Claims
OG exemplary drawing
 
1. A method for generating training data for training a machine learning algorithm, the method comprising the following steps:
providing first training data;
generating additional training data from at least one portion of the first training data, wherein the additional training data are generated in each case by applying, to all training data included in the at least one portion of the first training data, an augmentation function randomly selected from a set of possible augmentation functions; and
providing the first training data and the additional training data for training the machine learning algorithm;
wherein the generating of the additional training data from the at least one portion of the first training data further includes, in each case, randomly selecting, for all the training data included in the at least one portion of the first training data, a degree of intensity for the augmentation function from a set of possible degrees of intensity, and generating the additional training data by applying the corresponding, randomly selected augmentation function to the training data while using the randomly selected degree of intensity.