Positive sample acquisition method and device for target detection, equipment and storage medium

A technology of target detection and acquisition method, applied in the field of image recognition, it can solve the problems of reducing algorithm performance, introducing noise in positive samples, and the model cannot return to an object autonomously, so as to solve the problem of insufficient training samples and low quality and high performance. Effect

Active Publication Date: 2019-11-12
REMO TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology allows us to create an accurate dataset that can identify targets accurately without overfitting them with irrelevant data or poor performance on certain types of images. It also includes techniques like generating anchors frames from specific scenes and comparing their true labels against those found during testing. By doing this we aimed at improving both accuracy and efficiency in object identification tasks such as face analysis.

Problems solved by technology

This patented technical problem addressed by this patents relates to improving detecting accuracy for images that include both static and dynamic targets within them during learning phases. Specifically, existing methods can only identify one type at once without accurately identifying other types simultaneously due to factors like background clutter caused by multiple sources of interference from different directions. Additionally, current algorithms often result in incorrect results if there were more than three objects near each other.

Method used

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  • Positive sample acquisition method and device for target detection, equipment and storage medium
  • Positive sample acquisition method and device for target detection, equipment and storage medium
  • Positive sample acquisition method and device for target detection, equipment and storage medium

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Embodiment 1

[0034] figure 1 It is a flowchart of a positive sample acquisition method for target detection provided by Embodiment 1 of the present invention. This embodiment is applicable to the case of screening samples for training models in image recognition, and specifically includes the following steps:

[0035] Step 1000, acquire an image to be detected, where the image to be detected includes at least one person image.

[0036] In this embodiment, the image to be detected is an image captured by a camera device for image recognition, which includes a person image or multiple person images. In an alternative embodiment, in addition to the person image, the image to be detected may also be an animal image, a vehicle image or other camera material images.

[0037] Step 1100, obtaining the anchor frame of the image to be detected.

[0038] In this embodiment, the target detection algorithm usually samples a large number of areas in the input image, and then judges whether these areas co

Embodiment 2

[0052] Please refer to figure 2 , figure 2 It is a flow chart of a method for obtaining positive samples for target detection provided by Embodiment 2 of the present invention. This embodiment optimizes and improves based on the solution of the first embodiment, and in particular provides a specific solution for matching rules between the anchor frame and the real label frame. Such as figure 2 As shown, the method includes:

[0053] Step 2000, acquire an image to be detected, and the image to be detected includes at least one person image.

[0054] Step 2100, acquire the anchor frame of the image to be detected.

[0055] Step 2200. Obtain the real annotation frame of the person image.

[0056] Similarly, step S2100 and step S2200 do not have a certain logical sequence relationship, step S2200 may be executed first and then step S2100 may be executed, or step S2100 and step S2200 may be executed simultaneously.

[0057] Step 2300, matching all the ground truth boxes with

Embodiment 3

[0070] Please refer to image 3 , image 3 It is a flow chart of a positive sample acquisition method for target detection provided by Embodiment 3 of the present invention. This embodiment optimizes and improves based on the solution of the first embodiment, and in particular provides a specific solution for filtering the first matching pair set according to the preset screening rules to obtain the second matching pair set. Such as image 3 As shown, the method includes:

[0071] Step 3000, acquire an image to be detected, where the image to be detected includes at least one person image.

[0072] Step 3100, acquire the anchor frame of the image to be detected.

[0073] Step 3200. Obtain the real annotation frame of the person image.

[0074] Similarly, step S3100 and step S3200 do not have a certain logical sequence relationship, step S3200 may be executed first and then step S3100 may be executed, or step S3100 and step S3200 may be executed simultaneously.

[0075] Step

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Abstract

The invention discloses a positive sample acquisition method and device for target detection, equipment and a storage medium, and the method comprises the steps: obtaining a to-be-detected image whichcomprises at least one figure image; obtaining an anchor box of the to-be-detected image, and obtaining a real annotation box of the figure image; matching the anchor box with the real annotation boxaccording to a preset matching rule to obtain a first matching pair set; screening the first matching pair set according to a preset screening rule to obtain a second matching pair set; and taking the second matching pair set as a positive sample set for target detection. According to the positive sample acquisition method for target detection provided by the invention, the sample model with higher performance is obtained through the obtained positive sample for target detection, the problems of insufficient training samples and low quality in image recognition in the prior art are solved, and the number and diversity of the training samples are ensured.

Description

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Claims

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Application Information

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Owner REMO TECH CO LTD
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