Attribute recognition model training method and device, attribute recognition method and device and equipment
A technology of attribute recognition and model training, applied in the fields of computer vision, image recognition and deep learning, which can solve the problems of poor recognition ability and low recognition accuracy.
Pending Publication Date: 2022-05-06
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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[0003] Existing target detection algorithms are used for general object detection tasks, and image attribute recognition in the above special scenarios is mainly related to small objects, and small objects are objects with a small area in the image. Existing target detection algorithms are used for the above-mentioned When identifying target attributes in special scenarios, there are problems of poor recognition ability and low accuracy of attribute recognition
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[0036] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
[0037] With the continuous update and development of image processing technology, the application of deep learning in computer vision has become more and more extensive, and has rapidly made major breakthroughs in the fields of target detection, image classification, segmentation, and image generation. Among them, target detection is the basis of many computer vision al...
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The invention provides an attribute recognition model training and attribute recognition method, device and equipment, and relates to the field of artificial intelligence, in particular to the technical field of computer vision, image recognition and deep learning. The attribute recognition model training method comprises the steps that an image training set is acquired, each image in the image training set carries a labeled attribute and a labeled object area, and the ratio of the area of an object corresponding to the labeled object area of each image to the total area of the image is smaller than a preset proportion threshold value; and inputting each image in the image training set into a preset network to obtain a predicted object thermodynamic diagram of each image, and adjusting parameters of the preset network according to the annotation attribute of each image, the annotation object thermodynamic diagram of the annotation object region and the predicted object thermodynamic diagram to obtain an attribute recognition model. The attribute recognition method comprises the steps of inputting a to-be-processed image into the attribute recognition model obtained through training, and determining whether the to-be-processed image contains a target attribute or not.
Description
technical field [0001] The present disclosure relates to the technical fields of computer vision, image recognition and deep learning in the field of artificial intelligence, and in particular to an attribute recognition model training, attribute recognition method, device and equipment. Background technique [0002] With the development of deep learning technology, target detection has become one of the basic tasks in the field of computer vision, especially attribute recognition in special scenarios is becoming more and more important. For example, in a driving scene, identifying whether the driver’s cab image contains the attributes of the driver’s phone call and whether the driver smokes is crucial to determining whether the driver is driving safely; in scenarios such as hospitals or shopping malls, identifying Whether it includes the user smoking attribute is crucial to the safety of public places and environmental maintenance. [0003] Existing target detection algori...
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IPC IPC(8): G06V10/774G06V10/764G06V20/59G06T7/62G06N3/08G06V10/82
CPCG06T7/62G06N3/08G06T2207/20081G06T2207/20084G06F18/241G06F18/214
Inventor 蒋旻悦
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD