Target labeling method, device and equipment, and computer readable storage medium

Abstract

The invention discloses a target labeling method, and the method comprises the steps: obtaining a to-be-labeled image, and identifying a first identification area and a second identification area in the to-be-labeled image; labeling the first identification area and the second identification area to obtain a to-be-filtered target; based on a pre-constructed evaluation function, filtering the to-be-filtered target to obtain a labeled target, wherein the area of the first identification area is larger than that of the second identification area. The invention further discloses a target labelingdevice and equipment and a computer readable storage medium. According to the intelligent labeling method and device, the labeling object is divided into the first recognition area and the second recognition area, then the first recognition area and the second recognition area are recognized and labeled, the labeling speed and accuracy are improved, and in order to further improve the labeling precision, the evaluation function is adopted to filter the labeling result, so that a high-precision labeling target is obtained, and intelligent labeling is achieved.

Description

technical field [0001] The present invention relates to the technical field of image recognition in automatic driving, in particular to a target labeling method, device, equipment and computer-readable storage medium. Background technique [0002] A self-driving car is a smart car that realizes unmanned driving through a computer system. Relying on the cooperation of artificial intelligence and visual computing, the computer can automatically and safely operate the motor vehicle without any active human operation. Among them, in order to realize the automatic driving of the vehicle, it is necessary to carry out in-depth training on the vehicle in advance, so that after the training, the vehicle can automatically recognize the traffic lights while driving at the intersection, so as to obey the traffic rules during the automatic driving process. [0003] In the training process, in order to enable the vehicle to correctly identify traffic lights, it is necessary to use a large...

AI Technical Summary

Problems solved by technology

[0003] In the training process, in order to enable the vehicle to correctly identify traffic lights, it is necessary to use a large number of images marked with traffic light information to train the vehicle, while a large number of traditional images marked with traffic light information are manually marked up, making the training process In the middle, it takes a long time to label, and due to a large number of manual labeling, labeling errors are prone to occur, and labor costs are high.

Images