Face annotation image acquisition method and device, electronic equipment and storage medium
A target image and image technology, applied in the field of face annotation image acquisition, can solve the problems of high error rate, high annotation cost, and limit the improvement of face recognition ability of face recognition model, so as to improve accuracy and reduce The effect of acquiring costs
Pending Publication Date: 2021-02-05
PING AN TECH (SHENZHEN) CO LTD
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[0002] The training of face recognition models often relies on a large number of human-labeled face images, but the error rate of manual labeling is usually large, and the cost of labeling is high, which limits the face recognition ability of the face recognition model to a certain extent. promote
[0003] At present, there are also solutions that first perform data cleaning on manually labeled face images, and then use the cleaned face images for face recognition model training, but this solution still requires manual labeling of face images. It cannot fundamentally solve the problem that the data source used to train the face recognition model relies on manual annotation
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[0027] Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.
[0028] The block diagrams shown in the drawings are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices entity.
[0029] The flow charts shown ...
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The invention relates to the technical field of artificial intelligence, and particularly provides a face annotation image acquisition method, which comprises the steps of performing human face detection on a to-be-detected image contained in video stream data to obtain an image sequence formed by the to-be-detected image containing a face region; taking a face area contained in each image in theimage sequence as a target face, tracking the target face in the video stream data, and recording timestamp information and a tracking identifier corresponding to the tracked target image; correctingthe target image to obtain a corrected image, and the corrected image only contains the tracked target face; and according to timestamp information and tracking identifiers contained in the correctionimages, taking each correction image corresponding to the same tracking identifier at different moments as a face annotation image corresponding to a person identified by the tracking identifier. According to the invention, a plurality of face annotation images corresponding to each person can be automatically extracted from the video stream data.
Description
technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a method and device for acquiring a human face tagged image, electronic equipment, and a computer-readable storage medium. Background technique [0002] The training of face recognition models often relies on a large number of human-labeled face images, but the error rate of manual labeling is usually large, and the cost of labeling is high, which limits the face recognition ability of the face recognition model to a certain extent. promote. [0003] At present, there are also solutions that first perform data cleaning on manually labeled face images, and then use the cleaned face images for face recognition model training, but this solution still requires manual labeling of face images. It cannot fundamentally solve the problem that the data source used to train the face recognition model relies on manual annotation. Contents of the invention ...
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IPC IPC(8): G06K9/00
CPCG06V40/172G06V40/161
Inventor 蔡中印赵晓辉陈斌宋晨
Owner PING AN TECH (SHENZHEN) CO LTD