Method for providing auto labeling service to generate training data and server using the same

A method for providing auto labeling assistance service to generate training data, comprising steps of:

• (a) in response to acquiring information on a request for the auto labeling assistance service from a labeler terminal, providing, by a server comprising a processor and a memory device, a labeling interface to the labeler terminal, the labeling interface being configured to present a first lane detection model through an n-th lane detection model to a labeler, and to receive, from the labeler terminal, a selection by the labeler of a specific lane detection model suitable for a target image among the first lane detection model to the n-th lane detection model by referring to at least one lane detection result among a first lane detection result to an n-th lane detection result, by the labeling interface displayed on the labeler terminal, wherein the first lane detection result to the n-th lane detection result are respectively acquired by applying the first lane detection model to the n-th lane detection model respectively to the target image, and wherein n is an integer equal to or larger than 1;
• and
• (b) in response to acquiring first point information to k-th point information on a specific lane selected to label the specific lane among one or more lanes located in the target image through the labeling interface, executing, by the processor, program instructions stored on the memory device to perform semi-auto labeling operations comprising generating a first spline model having m spline points corresponding to the specific lane in the target image by referring to at least part of the first point information to the k-th point information acquired through the labeling interface, a segmentation map and a clustering map corresponding to a specific lane detection result of the specific lane detection model, and to display the first spline model through the labeling interface, to thereby provide the auto labeling assistance service, wherein the first spline model is stored in a database with the target image, wherein the training data for training one or more machine learning models includes the first spline model and the target image, wherein k is an integer larger than or equal to 2, and m is an integer larger than or equal to 2.