Image detection model training method and device and image detection method and device

A detection model and image detection technology, applied in the computer field, can solve the problems of heavy labeling workload, difficult training sets, limiting model usage scenarios and performance, etc., to achieve the effect of improving performance and expanding usage scenarios

Pending Publication Date: 2020-05-08
BEIJING SENSETIME TECH DEV CO LTD
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Problems solved by technology

Annotators need to label a large number of given pictures, and the workload of labeling is heavy, especially in the face of co

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  • Image detection model training method and device and image detection method and device
  • Image detection model training method and device and image detection method and device
  • Image detection model training method and device and image detection method and device

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[0067] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the drawings. The same reference numerals in the drawings indicate elements with the same or similar functions. Although various aspects of the embodiments are shown in the drawings, unless otherwise noted, the drawings are not necessarily drawn to scale.

[0068] The dedicated word "exemplary" here means "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" need not be construed as being superior or better than other embodiments.

[0069] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. Those skilled in the art should understand that without certain specific details, the present disclosure can also be implemented. In some instances, the methods, means, elements, and circuits well-known to those skilled in...

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Abstract

The invention relates to an image detection model training and image detection method and device, and the method comprises the steps: carrying out the training of an initial detection model through aninitial training set, and obtaining a first detection model; processing the second training sample through the first detection model to obtain a detection result of the second training sample; and training the first detection model through an extended training set comprising the first training sample and the second training sample to obtain a second detection model. According to the embodiment ofthe invention, the second training sample is detected through the first detection model, the detection result of the second training sample is obtained, and the detection result reduces the annotation workload. Furthermore, the training set is expanded through the second training sample and the labeling information thereof, the expanded training set is used for training the first detection modelto obtain the second detection model, the performance of the second detection model is improved, and the use scene of the second detection model is expanded.

Description

technical field [0001] The present disclosure relates to the field of computer technology, in particular to an image detection model training and image detection method and device. Background technique [0002] Recently, deep learning techniques have been widely used in image detection. However, the deep learning-based model needs to use a large amount of training data to train the model before it is put into practical application, so as to ensure the processing performance of the model in complex scenarios. Therefore, the demand for image training data in practical engineering is huge. Annotators need to annotate a large number of given pictures, and the workload of annotation is heavy, especially in the face of complex scenes, it is difficult to form a large-scale training set, which limits the usage scenarios and performance of the model. Contents of the invention [0003] The disclosure proposes a training method for an image detection model and an image detection me...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/161G06F18/214
Inventor 不公告发明人
Owner BEIJING SENSETIME TECH DEV CO LTD
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