TRAINING METHOD AND SYSTEM OF OBJECTS DETECTION MODEL BASED ON ADAPTIVE ANNOTATION DESIGN

摘要

A training system and method of object detection model is disclosed. The training system includes an object detection model and a loss calculation module. The object detection model is configured to generate an output image according to an input image. The loss calculation module, coupled to the object detection model, is configured to calculate a total classification loss value according to the output image and a solution image, calculate a loss value according to the total classification loss value, and transmit the loss value to the object detection model. The total classification loss value is calculated according to a number of classification losses corresponding to a number of object types. Each classification loss corresponding to each object type is calculated according to a first parameter, a second parameter and a third parameter.