Image recognition automatic annotation method, device and equipment and storage medium
An automatic labeling and image recognition technology, applied in the field of image labeling, can solve the problems of time-consuming and labor-intensive manual labeling process, and is easily disturbed by human factors, so as to reduce the error rate and improve work efficiency.
Pending Publication Date: 2021-02-12
星火科技技术(深圳)有限责任公司
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[0004] The main purpose of the present invention is to propose an image recognition automatic labeling method, device, equipment and storage medium, aiming to solve the technical problems in the prior art that the manual labeling process is time-consuming and laborious, and is easily interfered by human factors
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[0048]It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.
[0049]Referencefigure 1 ,figure 1 It is a schematic structural diagram of an image recognition automatic labeling device of a hardware operating environment involved in the solution of the embodiment of the present invention.
[0050]Such asfigure 1 As shown, the image recognition automatic labeling device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to implement connection and communication between these components. The user interface 1003 may include a display screen (Display) and input units such as buttons. The optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include ...
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The invention relates to the technical field of image annotation, and discloses an image recognition automatic annotation method, device and equipment and a storage medium, and the method comprises the steps of obtaining an initial image, dividing the initial image according to a preset division rule, and obtaining a plurality of to-be-annotated images; and inputting the plurality of to-be-annotated images into an image annotation algorithm model obtained through training for image annotation to obtain corresponding region annotation images, and combining the corresponding region annotation images according to a preset combination rule to obtain an automatic annotation image. The initial image is divided into the plurality of images to be annotated, the images to be annotated are input into the image annotation algorithm model to annotate the images to obtain the region annotation images, and then the region annotation images are combined into the complete automatic annotation image without any manual operation, so that the error rate interfered by human factors is reduced, and the working efficiency of image annotation is improved.
Description
Technical field[0001]The invention relates to the technical field of image labeling, and in particular to an image recognition automatic labeling method, device, equipment and storage medium.Background technique[0002]With the development of intelligent monitoring technology, image recognition and automatic labeling can effectively assist in quick access to image content. At present, in scenarios such as parking lot management, traffic accident handling, traffic accident escape, and illegal vehicle information tracking, users need to manually mark the image content in advance or directly analyze the vehicle information manually. The processing process is time-consuming and labor-intensive, and more characteristic information It means that a lot of data analysis and calculation are required. If traditional manual labeling methods are used, too much image information is prone to errors such as key information omission and information misplacement, and it is easily interfered by human f...
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IPC IPC(8): G06K9/62G06N3/08
CPCG06N3/08G06F18/22G06F18/24
Inventor 杨文伟徐羽孙向明
Owner 星火科技技术(深圳)有限责任公司