Image semantic segmentation annotation method, device and storage medium
A semantic segmentation and image technology, applied in the field of image verification, can solve problems such as increasing operating costs, and achieve the effect of reducing workload and cost, reducing processing time, and saving manual workload.
Active Publication Date: 2019-03-26
南宁因果科技有限公司
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Problems solved by technology
[0002]
Now the number of netizens in the country has reached 800 million, and the number of verification codes used nationwide is very large, more than 10 million times; currently, image recognition features are obtained by training deep networks, and the number of training samples required is also increasing , the required data labeling quality is getting higher and higher, which greatly increases the operating cost
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[0021] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.
[0022] Such as figure 1 As shown, an image semantic segmentation labeling method, including:
[0023] Partition the verification image according to the preset partition value to obtain multiple selectable regions;
[0024] Perform displacement processing on a plurality of selectable regions according to the specified direction, standardize the selectable regions after displacement processing, and obtain the offset display region of each selectable region;
[0025] Transmit the verification picture containing the offset display area to the user display window for verification request, that is, require the user to click on the area containing the target object, and receive the selection area selected by the user;
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The invention provides an image semantic segmentation and annotation method, a device and a storage medium, which combine the verification code and the image semantic segmentation. The method comprises the following steps: the verification picture is partitioned according to a preset partition value to obtain a plurality of selectable regions; Displacement processing is performed on a plurality ofselectable regions according to a specified direction to obtain offset display regions of each selectable region; an authentication picture including an offset display area is transmitted to a user display window for authentication request, requiring the user to click an area containing a specified object, and receiving the selected area clicked by the user; detection is performed on the edge pixel and the core pixel of the selected area to verify that the selected area is passed if the selected area contains the core pixel, otherwise, the selected area is not passed; A new core pixel is marked according to the detected edge pixel. At the same time, the image is segmented semantically according to the core pixel. With the increase of the number of image verification, the area of the corepixel will be more accurate, and can save a lot of manual processing.
Description
technical field [0001] The present invention mainly relates to the technical field of image verification, and in particular to an image semantic segmentation and labeling method, device and storage medium. Background technique [0002] Now the number of netizens in the country has reached 800 million, and the number of verification codes used nationwide is very large, more than 10 million times; currently, image recognition features are obtained by training deep networks, and the number of training samples required is also increasing , the required data labeling quality is getting higher and higher, which greatly increases the operating cost. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide an image semantic segmentation and labeling method, device and storage medium for the deficiencies of the prior art. [0004] The technical solution of the present invention to solve the above-mentioned technical problems is a...
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IPC IPC(8): G06T7/11G06T7/13G06F21/36
CPCG06F21/36G06T7/11G06T7/13G06T2207/20132
Inventor 郑昕匀
Owner 南宁因果科技有限公司