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Method and device for cleaning training data of face detection model

A face detection and training data technology, applied in the field of face recognition, can solve the problems of time cost, labor cost and financial cost, and achieve the effect of reducing automatic cleaning

Active Publication Date: 2021-09-28
北京美摄网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] This application provides a method and device for cleaning the training data of the face detection model, which can automatically clear the abnormal data existing in the training data, and solve the problem that the time cost, labor cost and financial cost of manual post-screening are very large. question

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  • Method and device for cleaning training data of face detection model
  • Method and device for cleaning training data of face detection model
  • Method and device for cleaning training data of face detection model

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Embodiment Construction

[0080] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0081] In view of the technical problems raised in the background technology of the application embodiment, the embodiment of the application proposes a method for cleaning the training data of the face detection model. The abnormal data of the face is designed to realize the effective identification and removal of the abnormal data through the combination detection of multiple detection models in an automated way, so as to solve the problem that the time cost,...

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Abstract

The invention provides a method and device for cleaning training data of a face detection model, and belongs to the technical field of face recognizing. According to the embodiment of the invention, according to a label file corresponding to each image containing the face in a first to-be-cleaned face detection data set, a face area in each image containing the face is cut to obtainface local images; the face local images are respectively sent to a head posture detector, a non-face recognizer and a face position detector for combined detection, abnormal data including a face local image with an abnormal head posture angle, a face local image without a real face and a face local image without a face are screened out, and the abnormal data is cleaned to obtain a cleaned face detection data set; and the time cost, the labor cost and the financial cost consumed by later manual screening are reduced while automatic cleaning of the abnormal data is realized.

Description

technical field [0001] The present application relates to the field of face recognition, in particular to a method and device for cleaning training data of a face detection model. Background technique [0002] Face recognition is widely used in security, entertainment, finance and other fields. It is the pre-task of tasks such as face recognition, face key point detection, and face attribute analysis. In the application of face special effects and intelligent beauty, it needs to accurately locate and analyze the face to determine whether it is a face. [0003] However, commonly used public datasets contain a large amount of face data of varying quality and standards, making ineffective faces such as small faces, large-angle profiles, and cartoon portraits often detected in practical application scenarios. For human faces, it leads to errors and deviations in subsequent tasks, which greatly affects the user experience. The existing technology usually uses manual post-screen...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06F18/214
Inventor 李博贤周朋彭丽江郑鹏程
Owner 北京美摄网络科技有限公司