Label labeling method and device based on artificial intelligence, electronic equipment and medium

Abstract

The invention relates to the field of data processing, and provides a label labeling method and device based on artificial intelligence, electronic equipment and a medium, and the method comprises thesteps: receiving a plurality of to-be-labeled pictures comprising a target body, carrying out the preprocessing of the to-be-labeled pictures, and obtaining a plurality of preprocessed pictures, classifying the preprocessed pictures of which the similarity values are greater than or equal to a first preset threshold value into one class; calculating each preprocessed picture in the same type of preprocessed pictures with a preset picture to obtain a similarity value set corresponding to each preprocessed picture, and taking the preset picture of which the similarity value is greater than or equal to a second preset threshold value in each type of similarity value set as a recommendation result of the preprocessed pictures; and displaying the recommendation result to the user, so that theuser selects a preset label of a preset picture with the highest matching degree with the specified preprocessed picture as a target label of a target body in the specified preprocessed picture. According to the invention, the difficulty of sample data collection can be reduced, and the recognition accuracy of an artificial intelligence system is improved.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to an artificial intelligence-based labeling method, device, electronic equipment and media. Background technique [0002] With the development of artificial intelligence technology, more and more industries use artificial intelligence technology to improve service capabilities. For example, in the commodity sales industry, by regularly collecting product pictures on a certain shelf, using artificial intelligence technology to obtain the labels corresponding to the product pictures purchased by consumers, and through big data analysis and other means, analyze the corresponding labels of more popular products. labels, so as to guide merchants to selectively increase the purchase of goods, and further increase sales. [0003] Artificial intelligence technology relies on the learning of real data. During the learning process of artificial intelligence, a large number of data sam...

AI Technical Summary

Problems solved by technology

[0003] Artificial intelligence technology relies on the learning of real data. During the learning process of artificial intelligence, a large number of data samples are required. However, due to the huge category of commodities, the same commodity may affect the final recognition result due to different display angles. Therefore, it is often necessary to obtain For different angle pictures of the same product, if multi-angle pictures are acquired for each product, it will not only increase the workload of technicians, but also occupy system memory and affect system processing speed

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