A method and system for obtaining image annotation data

Abstract

The present application provides a method and system for obtaining image annotation data, the method comprising: obtaining the recognition result of the image to be annotated; displaying the image to be annotated and candidate characters on the word guessing interface, the candidate characters at least including the identified Each character obtained after the result is split; use the user's selection of the candidate character on the word guessing interface to obtain the labeling data of the picture to be labeled. The method and system for obtaining image annotation data described in this application presents the image to be annotated to the user in the form of a word guessing game, and the user completes the annotation of the image by guessing the word; no need to occupy a large amount of computing resources, and no need to recruit professional annotation Or outsourcing personnel, which reduces the cost of obtaining image annotation data; because users play the game according to their own wishes, and each calibration task can be rewarded with points, it improves the user's sense of accomplishment and enthusiasm for playing the game, and basically eliminates the possibility of cheating , thus improving the accuracy to a certain extent.

Description

[Technical field] [0001] The present application relates to the field of computer processing, and more particularly to a method and system for acquiring picture label data. 【Background technique】 [0002] In the Internet generation and storage mass information, the picture is an important information carrier that is more and more important to process the image information in Internet information and information retrieval services. [0003] Picture marked is a very important job of training data preparation in computer visual field, usually requires a large number of artificially annotated pictures as machine learning and computer vision for further data processing and data mining initial training data sets. The method for obtaining pictures of artificial annotation data is mainly labeled by dedicated labeling personnel, outsourcing or public bags. [0004] However, because the picture is marked is a boring, simple repetitive labor, long-term labeling is harmful to the physiologic...

AI Technical Summary

Problems solved by technology

[0004] However, since image labeling is a boring, simple and repetitive work, long-term labeling will cause physical and psychological harm to the labelers, and the labor cost is high

[0005] In addition, when the number of pictures that need to be manually labeled is large, there is also the possibility of cheating. Some labelers may randomly label some pictures in the process of labeling in order to complete the labeling task quota as soon as possible.

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