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Method for detecting image with object labeling box

A detection method and a frame labeling technology, applied in the field of data processing, can solve the problems of being affected by artificial factors and the large fluctuation of labeling quality, and achieve the effect of improving effective test efficiency, ensuring quality stability, and improving recognition.

Pending Publication Date: 2022-03-01
北京车网科技发展有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The object annotation image generated by this processing method is affected by artificial factors, and its annotation quality fluctuates greatly

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  • Method for detecting image with object labeling box
  • Method for detecting image with object labeling box

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Embodiment Construction

[0039] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments . Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0040] figure 1 A schematic diagram of a detection method with an object label frame image provided in Embodiment 1 of the present invention, as shown in figure 1 As shown, the method mainly includes the following steps:

[0041] Step 1, obtaining the first image data;

[0042] Wherein, the first image data includes a plurality of first object labeling frames; the first object labeling frame includes first frame identification data, firs...

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Abstract

The embodiment of the invention relates to a method for detecting an image with an object annotation box. The method comprises the following steps: acquiring first image data; the first color is used for displaying; performing first annotation box detection on each first object annotation box based on a first image semantic recognition model; displaying by using a second color; obtaining and generating a first detection data index; taking a first object labeling box corresponding to the first detection data index as a current labeling box; if the corresponding first detection data is not matched with the original state, providing an annotation box modification interface to carry out second annotation box detection on the current annotation box; the first color is used for displaying; calculating an object detection qualification rate of the first image data to generate first qualification rate data; and if the qualified rate exceeds the preset qualified rate threshold value, recording the first image data as a qualified object labeling box image. According to the invention, the quality stability of the annotated image can be ensured, and the test effectiveness of the sensing module can be improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a detection method for an image with an object label frame. Background technique [0002] The perception module of the automatic driving system will recognize the object types of all objects in the scene during the driving process of the vehicle, and output the recognition results to the downstream decision-making module as a reference for trajectory decision-making. To verify the recognition accuracy of the perception module requires a large amount of drive test image data for testing, and the accuracy of the drive test image data directly affects the test effect of the perception module. Under normal circumstances, R&D institutions will employ a large number of personnel to manually label the objects of each drive test image data, and use the original drive test image data and the labeled image data as a test-comparison data set for the object recognition algorithm of t...

Claims

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Application Information

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IPC IPC(8): G06V10/776G06V10/72G06V10/25G06V10/764G06K9/62G06F16/54G06F16/538G06F16/51
CPCG06F16/54G06F16/538G06F16/51G06F18/217G06F18/10G06F18/2415
Inventor 孙宁霍俊江陈瀚高景伯贾轶春姜川
Owner 北京车网科技发展有限公司