Automatic bias related dataset creation for machine learning training

A non-transitory computer readable medium of automatic bias related dataset creation for machine learning training, the non-transitory computer readable medium stores instructions executable by a processing circuit for:

• identifying, via a self-supervised learning process, a sensed information unit that is classification biased as it exhibits a combination of features, the sensed information unit is of a dataset associated with captured data in a road environment;
• automatically artificially creating a set of sensed information units exhibits only one or only some features of the combination of features;
• and
• adding the automatically artificially created set to the dataset to provide an updated data set in association with the identified classification biased sensed information unit for training a machine learning process with the updated dataset to provide a trained machine learning process that identifies each of the combination of features as a separate feature for classification.