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Mark generation method and device, model training method and device, marking method and device, storage medium and equipment

A training method and labeling technology, applied in integrated learning, character and pattern recognition, image data processing, etc., can solve problems such as large labor cost and increase cost, and achieve the effect of saving cost, improving accuracy and facilitating collection.

Pending Publication Date: 2022-03-18
ROBOTICS ROBOTICS LTD
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The process of manual labeling often requires a lot of labor costs, which in turn increases the cost of the entire technology development

Method used

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  • Mark generation method and device, model training method and device, marking method and device, storage medium and equipment
  • Mark generation method and device, model training method and device, marking method and device, storage medium and equipment
  • Mark generation method and device, model training method and device, marking method and device, storage medium and equipment

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Embodiment Construction

[0053] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0054] The label generation, model training, labeling method, device, system, storage medium and equipment provided by the embodiments of the present invention can be applied to the technical field of automatic labeling of images, and automatic labeling for images can be realized through this method, saving the cost of manual labeling cost; in addition, in some cases, the error caused by the human eye is reduced, and the accuracy of the marking is improved.

[0055] Wherein, the above-mentioned marks are key features associated with the target object, such as: key points a...

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PUM

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Abstract

The invention relates to a mark generation method and device, a model training method and device, a marking method and device, a storage medium and equipment. The mark generation method comprises the following steps: acquiring a to-be-marked graph of a target object; obtaining a conversion graph corresponding to the to-be-marked graph; acquiring a reference map of the target object; associating the conversion graph with the reference graph to obtain a conversion relation or a transformation relation; and mapping the fiducial mark based on the conversion relation or the transformation relation to obtain a mark. According to the technical scheme, automation of image marking is achieved.

Description

technical field [0001] The present application relates to the technical field of automatic labeling of images, in particular to a label generation, model training, labeling method, device, storage medium and equipment. Background technique [0002] With the development of science and technology, image automatic labeling technology has been developed and applied in many fields. [0003] In the field of artificial intelligence model training, in the process of training artificial intelligence models based on certain methods (such as: supervised learning, semi-supervised learning), it is necessary to rely on training samples and the labels of training samples to continuously optimize the parameters of the model . In the existing technology, it is often necessary to manually mark the training samples. For example, in the field of fire bull pose recognition technology as an example, during the training process of the fire bull pose recognition model, it is necessary to manually ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06K9/62G06N20/20G06V10/774
CPCG06T7/13G06N20/20G06T2207/10028G06T2207/20081G06T2207/20084G06F18/214
Inventor 不公告发明人
Owner ROBOTICS ROBOTICS LTD
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