Image segmentation annotation method and device

An image segmentation and to-be-segmented technology, applied in the field of image recognition, can solve the problem of spending a lot of manpower, material resources and time, and achieve the effect of good segmentation performance and improved segmentation accuracy.

Active Publication Date: 2019-12-13
HANGZHOU HIKVISION DIGITAL TECH
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  • Claims
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AI Technical Summary

Problems solved by technology

[0003] Most of the current SS algorithms and IS algorithms are based on deep learning, and the effect of deep learning largely depends on a large amount of training data. Large-scale training data requires a lot of manpower, material resources and time to label

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  • Image segmentation annotation method and device
  • Image segmentation annotation method and device

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Embodiment Construction

[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0027] figure 1 This is an example of the setting of the truth value in the embodiment of the present application, and the setting of the truth value of the object may also be done in other manners, and is not limited thereto. see figure 1 , from left to right are the original image, the training data marked for SS, and the training data marked for IS. From figure 1 It can be seen that the training data used by SS and IS must not only provide images with rich features, but also indicate the true value (label, ie category identification) information of the objects included in the image. For different images, the true value of objects of the same type is fixed; for example, the corresponding true value of "road" in all scene images is 1, and the ...

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Abstract

The embodiment of the invention provides an image segmentation annotation method and device, and the method comprises the steps: intercepting an image block from a to-be-segmented image, and enablingthe image block to comprise a to-be-segmented target object; segmenting the image block by using a trained segmentation model to obtain a segmentation result of the target object; wherein the segmentation model is used for predicting segmentation results of different types of objects and endowing the segmentation results of different types of objects with the same true value; and receiving an annotation instruction, and setting the true value of the segmentation result of the target object as the true value specified by the annotation instruction. The embodiment of the invention provides a semi-automatic segmentation annotation tool, and annotation time and labor cost can be reduced under the condition that the same precision as manual annotation is guaranteed.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular to an image segmentation and labeling method and device. Background technique [0002] Image segmentation can include Semantic segmentation (SS) and instance segmentation (InstanceSegmentation, IS). The purpose of SS is to classify each pixel in the image, that is, to label each pixel with a category; while IS not only needs to classify at the pixel level, but also needs to distinguish different instances on the basis of specific categories. [0003] Most of the current SS algorithms and IS algorithms are based on deep learning, and the effect of deep learning largely depends on a large amount of training data. Large-scale training data requires a lot of manpower, material resources and time to label. Contents of the invention [0004] In view of this, an embodiment of the present application provides an image segmentation and labeling method to provide a semi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/12G06T7/136G06T7/149G06T7/194G06N3/04G06N3/08
CPCG06T7/12G06T7/136G06T7/149G06T7/194G06T2207/20081G06T2207/20084G06T2207/30204G06N3/084G06N3/044
Inventor 周健孙海鸣谢迪浦世亮
Owner HANGZHOU HIKVISION DIGITAL TECH
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