Method, device and computer program for training an artificial neural network for object recognition in images

A non-transitory computer program comprising instructions which, when executed by a computer, cause the computer to carry out a method for training an artificial neural network (ANN) for object detection in images, said method configured to be implemented by a computer, and said method comprising:

• a training phase that comprises
• training the ANN with a training database (TDB) comprising training images, and
• measuring a performance of the ANN that is trained with a validation database (VDB) comprising validation images;
• wherein if the performance that is measured is not satisfactory, implementing an enhancing phase comprising
• detecting a mismatch between the validation images and a response of the ANN that is trained in response to said validation images,
• correlating the mismatch that is detected to at least one characteristic of the training images that impacts the training of the ANN,
• modifying the training database (TDB) according to said at least one characteristic of the training images that impacts the training of the ANN, and
• training the ANN with said training database that is modified.

A device comprising:

• one or more of
• at least one software component, and
• at least one hardware component
• configured to implement a method for training an artificial neural network (ANN) for object detection in images, said method comprising
• a training phase that comprises
• training the ANN with a training database (TDB) comprising training images, and
• measuring a performance of the ANN that is trained with a validation database (VDB) comprising validation images;
• wherein if the performance that is measured is not satisfactory, implementing an enhancing phase comprising
• detecting a mismatch between the validation images and a response of the ANN that is trained in response to said validation images,
• correlating the mismatch that is detected to at least one characteristic of the training images that impacts the training of the ANN,
• modifying the training database (TDB) according to said at least one characteristic of the training images that impacts the training of the ANN, and
• training the ANN with said training database that is modified.