Interactive method for processing image marking tasks based on crowdsourcing platform

Abstract

The invention belongs to the technical field of image marking and particularly provides an interactive method for processing image marking tasks based on a crowdsourcing platform. Firstly, an on-line crowdsourcing work mode is established to make taste demand parties and crowdsourcing members complete marking tasks on the platform; secondly, image marking tasks are used as main research and entry points to design and achieve the interactive method. The interactive method specifically comprises the steps that an image marking task classifying system is established, and the crowdsourcing platform is established; the design criteria and design process of the interactive method are established; the specific operating steps of the interactive method for processing image marking tasks based on the crowdsourcing platform are designed. By adopting the method, the marking efficiency and user experience of crowdsourcing workers are improved, accordingly image data training sets are more quickly provided for the scientific research fields of machine learning and the like, image data marking work is completed by utilizing a network crowdsourcing work mode, and new employment and income increasing opportunities are provided for vulnerable groups such as the disabled.

Description

technical field [0001] The invention belongs to the technical field of image labeling, and in particular relates to an interactive method for solving image labeling tasks on a crowdsourcing platform. Background technique [0002] In the era of big data, analyzing and using existing data in a reasonable way can effectively help us solve many problems. The field of machine learning collects effective labeled data to train and optimize their models and algorithms, so as to better make decisions and inferences about things and problems. Then in order to obtain a good model, not only a good enough algorithm is needed, but also a large amount of labeled data (such as labeled data for data categories / content such as images, videos, and texts) is needed as the basis for training and analysis. With its fast and low-cost characteristics, the Internet crowdsourcing work mode provides a friendly channel for solving big data labeling work. At the same time, it also provides more employ...

AI Technical Summary

Problems solved by technology

[0004] In order to optimize the problems faced in the process of solving image annotation tasks in the crowdsourcing mode mentioned above, and better solve image annotation tasks, the present invention proposes an interactive method for processing image annotation tasks based on a crowdsourcing platform

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