Method and System for Creating Training Data

Disclosed are aspects of a vehicle that can be fitted with a visual seat belt sensor that detects whether a seat belt is worn when a seat is occupied. Such seat-belt detection systems can be implemented by using artificial neural networks or machine learning algorithms, which require a large amount of training data. A method for preparing training data includes providing an image containing a path object, such as a seat belt. Starting at a first end of the path object, a segmented line object is established, with the segmented line object including a plurality of data points and a plurality of line segments. Data points and labels, which can be respectively associated with the line segments, may be created in response to one or more user interactions at least substantially simultaneously to save time. A computer system, for instance, can implement the method.