Marking method, system, equipment and storage medium for target to be identified

Abstract

The present invention provides a convenient marking method, system, equipment and storage medium for an object to be identified, including the following steps: Step S1: Collect several images, the images include at least one commodity area; Step S2: Preset a mark frame, so that the image can move relative to the marked frame, so as to drag a commodity area on each of the images into the marked frame; Labeling is performed such that each product area has a product label box. The present invention can drag the commodity area on the image to a preset mark frame to mark the commodity region by dragging the image, realizes the possibility of marking the image collected by the mobile terminal, such as a mobile phone, and improves the picture collection and The efficiency of marking can outsource the complicated work of image marking through the mobile APP, and realize the possibility of collecting and marking a large number of pictures.

Description

technical field [0001] The present invention relates to artificial intelligence, in particular to a convenient marking method, system, equipment and storage medium for an object to be identified. Background technique [0002] In the fast-moving consumer goods industry, in order to obtain the SKU (Stock Keeping Unit) of product information in a timely manner, it is necessary to collect the products on the shelf, and further target the products in the image. [0003] The traditional target marking method is an image-based computer vision target recognition method. First, the obtained product image is preprocessed to reduce noise, and then target recognition is performed, and template matching is applied or region of interest is extracted based on grayscale changes. However, the collected images often contain multiple categories of commodities with similar packaging, many types, and different placement forms. For a computer, it is relatively computationally intensive to find si...

AI Technical Summary

Problems solved by technology

[0004] The method based on artificial target identification is that the user uses the computer to mark, cut and other processes on the image. The commodities in the image are generally arranged in a list. Generally, the regions of interest are selected one by one and the selection operation is performed. When the user needs to process When there are too many pictures, the user needs to click one by one, the operation is extremely cumbersome, and at the same time, because the frequent clicking process may make the user lose concentration and cause misoperation, it takes a long time and the user experience is not good

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