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Image sample processing method and device, electronic equipment and storage medium

A processing method and technology of image samples, applied in the field of machine learning, can solve problems such as failure to achieve labeling results, inability to model training, and no solutions, and achieve the effect of accurate data labeling

Active Publication Date: 2019-09-17
SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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  • Claims
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AI Technical Summary

Problems solved by technology

The current active learning is based on a single criterion, which often fails to achieve the expected labeling results, and thus cannot better train the model based on the labeling results
However, there is no effective solution in the related art

Method used

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  • Image sample processing method and device, electronic equipment and storage medium
  • Image sample processing method and device, electronic equipment and storage medium
  • Image sample processing method and device, electronic equipment and storage medium

Examples

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Embodiment Construction

[0079] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0080] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0081] The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the term "at least one" herein mean...

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PUM

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Abstract

The invention relates to an image sample processing method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the sorting of data in an unlabeled data set according to one or more criteria which are adjusted in a self-adaptive manner, and obtaining a plurality of sorting results; carrying out fusion processing on the plurality of sorting results to obtain a target sorting result; and sending the data in the target sorting result to a target object for data labeling according to a strategy in which the data is sent according to the front-back sequence, so as to carry out model training of active learning according to a data labeling result. With the adoption of the method and the device, the expected marking result can be achieved through the marking result obtained through multi-criterion and weight self-adaptive adjustment, so that the model can be better trained according to the marking result.

Description

technical field [0001] The present disclosure relates to the technical field of machine learning, and in particular to a method and device for processing image samples, electronic equipment, and a storage medium. Background technique [0002] Active learning technology belongs to the technical branch of machine learning, which is used to obtain the highest performance prediction model with the smallest labeling cost. In recent years, with the advent of the era of "big data", it is being increasingly concerned by researchers from all walks of life. The current active learning is based on a single criterion, which often fails to achieve the expected labeling results, so that the model cannot be better trained according to the labeling results. However, no effective solution exists in the related art. Contents of the invention [0003] The disclosure proposes a technical solution for image sample processing. [0004] According to an aspect of the present disclosure, a meth...

Claims

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Application Information

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IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 赵愉张靖阳宋涛
Owner SHANGHAI SENSETIME INTELLIGENT TECH CO LTD
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