Target detection data set generation method and device, equipment and storage medium

A target detection and target data technology, applied in image data processing, file metadata retrieval, special data processing applications, etc., can solve problems such as low data set generation efficiency, large manual labeling workload, and long model optimization work. Achieve rapid response to model optimization work, avoid manual annotation, and generate high efficiency

Inactive Publication Date: 2022-01-07
奇酷软件(深圳)有限公司
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Problems solved by technology

[0004] The main purpose of the present invention is to provide a target detection data set generation method, device, equipment and storage medium, aiming to solve the problem of large manual labeling workload, low efficiency of data set generation and model failure in the face of target detection and recognition errors. Time-consuming technical issues for optimization work

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  • Target detection data set generation method and device, equipment and storage medium
  • Target detection data set generation method and device, equipment and storage medium
  • Target detection data set generation method and device, equipment and storage medium

Examples

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no. 1 example

[0093] Based on the above-mentioned first embodiment, the target detection data set generation method of this embodiment, after the step S30, further includes:

[0094] Step S301: Determine the file reading format corresponding to the training code.

[0095] It can be understood that different target detection models correspond to different training codes, and different training codes read files in different formats, for example, read annotated files in txt format.

[0096] Step S301: Perform format conversion on the blank annotation file in the target dataset according to the file reading format to obtain an adjusted target dataset.

[0097] It should be noted that, when generating a blank annotation file, this embodiment generates a blank xml file and a blank txt file. If the file reading format is inconsistent with the format corresponding to the blank annotation file, format conversion is performed on the blank annotation file.

[0098] Step S301: Train a preset target de...

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Abstract

The invention belongs to the technical field of target detection, and discloses a target detection data set generation method and device, equipment and a storage medium. The method comprises the following steps: traversing a preset background image folder path to obtain a traversed current background image; generating a blank annotation file according to a file name corresponding to the current background image; and storing the current background image and the blank annotation file into the initial data set to obtain a target data set. Through the above mode, the data set is generated according to the background image and the blank annotation file, in the case of target detection and identification errors, the background image with the identification errors is stored to the preset background image folder path, and the target data set can be generated through the data set generation process, so that manual annotation is avoided, the data set generation efficiency is high, and thus quickly responding to model optimization work.

Description

technical field [0001] The present invention relates to the technical field of target detection, in particular to a method, device, equipment and storage medium for generating a target detection data set. Background technique [0002] Currently, in the face of target detection and recognition errors, images are generally marked manually. For example, when there is a correct target in the image, the correct target will be marked out and added to the data set; if there is no correct target in the image If the image is completely a background image, a target is artificially pasted on the image, and then the target is framed and added to the data set. However, when there are a large number of background images, the workload of manual labeling is heavy, the efficiency of data set generation is low, and the work of model optimization takes a long time. [0003] The above content is only used to assist in understanding the technical solution of the present invention, and does not ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/11G06F16/14G06F16/16G06K9/62G06T5/50G06V10/774G06V40/10
CPCG06F16/116G06F16/11G06F16/162G06F16/148G06T5/50G06T2207/20221G06T2207/30204G06F18/214
Inventor 林楚然王福泉程力行袁振华贾东风
Owner 奇酷软件(深圳)有限公司
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