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Face detection model training method, face detection model identification method, face detection model training device, face detection model identification device, medium and equipment

A detection model and face detection technology, applied in character and pattern recognition, neural learning methods, biological neural network models, etc., can solve problems such as unsatisfactory recognition of non-frontal images, and improve the recognition effect.

Pending Publication Date: 2021-10-08
NETEASE HANGZHOU NETWORK
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Problems solved by technology

[0003] However, since pets are generally lively and active, with rich expression changes, it is easy to appear a large number of non-frontal face images such as side faces, half faces, depression angles or elevation angles when performing face recognition.
However, the current pet face detection model is better for frontal face recognition of pets, but not ideal for non-frontal face recognition

Method used

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  • Face detection model training method, face detection model identification method, face detection model training device, face detection model identification device, medium and equipment
  • Face detection model training method, face detection model identification method, face detection model training device, face detection model identification device, medium and equipment
  • Face detection model training method, face detection model identification method, face detection model training device, face detection model identification device, medium and equipment

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[0054]Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments. communicated to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other instances, well-known technical solutions...

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Abstract

The invention provides a face detection model training method and device, an identification method and device, a medium and equipment, and relates to the technical field of artificial intelligence. The face detection model training method is obtained through training based on sample images of the front face and the non-front face of a target animal, and the front face and the non-front face of the target animal in a to-be-detected image can be comprehensively recognized. Therefore, the technical problems that in the prior art, an existing pet face detection model is good in pet front face recognition effect and not ideal in non-front-face image recognition are solved, and the pet face recognition effect is improved from the two dimensions of comprehensiveness and accuracy of pet face recognition.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and in particular to a face detection model training method, recognition method, device, medium and equipment. Background technique [0002] Beauty photography has always been popular among young people. In recent years, some targeted beauty modes have been launched, such as pet beauty. Face recognition must be performed before beautification. At present, the pet's face is mainly recognized through the face detection model. [0003] However, because pets are generally more lively and active, and their expressions change a lot, it is easy to appear a large number of non-frontal face images such as side faces, half faces, depression angles or elevation angles when performing face recognition. However, the current pet face detection model is better for frontal face recognition of pets, but not ideal for non-frontal face recognition. Contents of the invention [0004] The...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06F18/214
Inventor 陈裕潮
Owner NETEASE HANGZHOU NETWORK
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