Abstract: The disclosure relates to a method for pedestrian detection in a processor circuit of a motor vehicle, wherein an image data set describing an image of an environment of the motor vehicle is received from an environment sensor, and a machine learning model (ML model) is used to determine bounding boxes with potential images of pedestrians using the image data set, and from image data of the image data set the at least one ML model extracts feature data of image features and a detection of a completely or partially depicted pedestrian is carried out within a bounding box using the image features contained therein by way of a classifier of the at least one ML model, and the bounding box depicting the pedestrian is identified by a detection signal as the result of the detection.