Continuous frame picture labeling method, electronic equipment and storage medium

Abstract

The invention discloses a continuous frame picture annotation method. The method comprises the following steps: generating an annotation box in response to an annotation operation of an annotator on a first frame picture in a continuous frame picture group for a target object; respectively generating the annotation boxes on the remaining pictures except the first frame picture in the continuous frame picture group; identifying the target object contained in at least part of the residual pictures; and according to the target object contained in the at least part of the pictures, adjusting the respective annotation boxes of the at least part of the pictures. In the whole process, an annotator only needs to manually complete annotation of the first picture, then the target object in the continuous frame picture group can be rapidly and accurately annotated based on automatic annotation box generation, automatic target object recognition and automatic adjustment, the annotation efficiency is improved, and the annotation time is shortened. And wrong labeling caused by excessive dependence on manpower is avoided.

Description

technical field [0001] The invention relates to the technical field of data labeling, in particular to a continuous frame picture labeling method, electronic equipment and a storage medium. Background technique [0002] When marking consecutive frames of pictures, labeling by group is adopted, and the same labeler will mark the groups of consecutive frames of pictures. However, during the labeling process, due to the large number of labeled pictures and many labeled objects, the labeling speed is often slow and the accuracy is low. [0003] In the continuous frame labeling process in the industry, the label consistency of the same object in the continuous frame pictures can be achieved. Set consecutive frames of pictures as a labeling topic, which will be labeled by the same labeler. After annotating a marked object in the first picture, the second picture will automatically copy the label frame of the first picture, including the label and position size; the labeler adjus...

AI Technical Summary

Problems solved by technology

The entire labeling process requires the labeler to label the pictures one by one, which is inefficient, and manual labeling of many pictures is prone to fatigue, resulting in labeling errors

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