公开(公告)号：US20230419532A1

公开(公告)日：2023-12-28

申请号：US18326144

申请日：2023-05-31

Applicant: BULL SAS

Inventor： Eva STRUNZ ,  Thomas BIERHOFF

IPC: G06T7/70 ,  G06V10/44 ,  G06V10/74 ,  G06V20/70

CPC classification number: G06T7/70 ,  G06V10/44 ,  G06V10/761 ,  G06V20/70 ,  G06V2201/07 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: The invention relates to a method for training an artificial neural network (ANN) for object detection in images. The method includes a training phase of training the ANN with a training database (TDB) that includes training images, and measuring a performance of the trained ANN with a validation database that includes validation images. If the measured performance is not satisfactory, the method further includes an enhancing phase of detecting a mismatch between the validation images and a response of the trained ANN in response to the validation images, correlating the mismatch to a characteristic of the training images that impacts the training of the ANN, modifying the training database according to the characteristic, and training the ANN with the modified training database. The invention further relates to a non-transitory computer program and a device configured to carry out the method, and to an artificial neural network trained with the method.