Irregular object semantic segmentation rapid labeling method

A semantic segmentation and irregular technology, applied in the field of semantic segmentation and fast labeling of irregular objects, can solve problems such as interference model training, and achieve the effect of improving recognition accuracy, improving labeling efficiency, and reducing interference.

Pending Publication Date: 2022-05-10
小视科技(江苏)股份有限公司
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Problems solved by technology

Although this rectangular bounding box labeling method improves the labeling speed, the labeling box contains background information other than the target. Especially when the target is a non-rectangular irregular object, the background information in the labeling will seriously interfere with the model training.

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  • Irregular object semantic segmentation rapid labeling method
  • Irregular object semantic segmentation rapid labeling method
  • Irregular object semantic segmentation rapid labeling method

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[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0028] see figure 1 , figure 1 It is a schematic flowchart of a preferred embodiment of a method for fast labeling of semantic segmentation of irregular objects provided by the present invention. The fast labeling method for the semantic segmentation of the irregular object comprises the following steps:

[0029] S1, image data acquisition and preprocessing: collect N images (N is a positive integer and greater than 100) with target objects, and uni...

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Abstract

The invention discloses an irregular object semantic segmentation rapid labeling method, which comprises the following steps of: 1) carrying out image data acquisition and preprocessing to obtain a data set of an image; 2) carrying out grid division on the image in the data set, and labeling a plurality of obtained small grids; 3) converting the label into a segmentation mask and carrying out edge optimization to obtain a data set for model training; and 4) selecting a segmentation model structure to carry out model training. Compared with pixel-level labeling, the irregular object semantic segmentation rapid labeling method has the advantages that the labeling time is greatly saved while the precision is slightly reduced; compared with rectangular frame labeling, the method can obviously improve the recognition precision, can greatly improve the labeling efficiency, and reduces the interference of background information on model training.

Description

technical field [0001] The invention relates to the technical field of semantic segmentation, in particular to a fast labeling method for semantic segmentation of irregular objects. Background technique [0002] Semantic segmentation refers to classifying each pixel in an image to identify the region where the object is located in the image. Usually, the training of semantic segmentation algorithms needs to be based on a large number of pixel-level mask labels manually labeled, and the labeling process is time-consuming and laborious. The segmentation method based on weak annotation usually first labels the bounding rectangle of the target, and then converts the rectangle into a mask for model training. Although this rectangular bounding box labeling method improves the labeling speed, the labeling box contains background information other than the target. Especially when the target is a non-rectangular irregular object, the background information in the labeling will serio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/26G06K9/62G06T3/40G06T7/11G06V10/774
CPCG06T7/11G06T3/4084G06T2207/20081G06F18/214
Inventor 杨帆郝强潘鑫淼胡建国
Owner 小视科技(江苏)股份有限公司
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