Data evaluation test method and device, electronic equipment and storage medium

Abstract

The invention discloses a data evaluation test method and device, electronic equipment and a storage medium, and relates to the technical field of data processing. The method comprises the steps that a to-be-evaluated data set is obtained, a plurality of to-be-evaluated objects included in the to-be-evaluated data set are composed of a first to-be-evaluated object, a second to-be-evaluated object and a third to-be-evaluated object, the second to-be-evaluated object is extracted from the first to-be-evaluated object, and the third to-be-evaluated object corresponds to standard evaluation information; the evaluation information of the evaluator for each to-be-evaluated object in the to-be-evaluated data set is obtained, and the evaluation result of the evaluator for the to-be-evaluated data set is determined based on the evaluation information, so that the evaluation result of the to-be-evaluated data set can be determined by checking the evaluation information of the evaluator, and the quality of data evaluation is automatically controlled. And the accuracy of a data evaluation result is improved.

Description

technical field [0001] The present application relates to the technical field of data processing, and more particularly, to a data evaluation inspection method, device, electronic device, and storage medium. Background technique [0002] With the rapid development of deep learning, the data-driven aesthetic evaluation algorithm has shown great vitality in recent years, and has important application value in the fields of image retrieval, intelligent image editing, album management and composition scoring. At present, data evaluation is mainly performed by evaluators. However, due to the different personal information of evaluators, different evaluators have different aesthetic evaluation standards for data, so that the obtained aesthetic evaluation results cannot meet the needs of some evaluators. Aesthetic preferences, resulting in inaccurate data evaluation results. SUMMARY OF THE INVENTION [0003] In view of the above problems, the present application proposes a data ...

AI Technical Summary

Problems solved by technology

At present, the data evaluation is mainly through the evaluators to evaluate the data. However, due to the different personal information of the evaluators, there are differences in the aesthetic evaluation criteria of the data by different evaluators, so that the obtained aesthetic evaluation results cannot meet the needs of some evaluators. Aesthetic preferences lead to inaccurate data evaluation results

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