Method, device and electronic device for correcting sample category label
A category label and sample technology, applied in the field of data processing, can solve problems such as category label errors, and achieve the effect of improving accuracy
Active Publication Date: 2022-04-22
TSINGHUA UNIV +1
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[0004] The present disclosure provides a sample category label correction method, device and electronic equipment to at least solve the problem of category label errors in the related art
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[0061] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.
[0062] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consi...
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The present disclosure discloses a method, device and electronic device for correcting a sample category label, and relates to the technical field of data processing. The method for correcting a sample category label includes: in response to a candidate trusted point selection operation instruction, modifying Projected points are selected, and each candidate credible point and the corresponding category label are displayed; in response to the user operation, the category label of the candidate credible point selected by the user is corrected to obtain a credible data set; based on the credible data set and various annotations Data, correct the category label of the labeled data; according to the rendering effect corresponding to the corrected category label, the projection points of various labeled data are rendered in the instance view. This method is convenient for users to intuitively observe the clustering distribution of labeled data, and select the appropriate Label the data and correct the labelled data with wrong category labels, and realize the correction of the category labels by visualizing the view and combining human experience, which further improves the accuracy of the correction of the sample category labels.
Description
technical field [0001] The present disclosure relates to the technical field of data processing, and in particular to a method, device and electronic equipment for correcting sample category labels. Background technique [0002] With the rapid development of artificial intelligence, machine learning is widely used in production and life. Based on machine learning, problems such as data classification and image recognition can be quickly solved. Machine learning makes people's production and life more convenient. In machine learning, high-quality training data is a key factor for the success of supervised and semi-supervised learning. It is usually necessary to label the sample data before machine learning. [0003] However, with the advent of the era of big data and the rapid growth of data, it is becoming more and more difficult to guarantee the level of data quality, and category label errors are a typical data quality problem. In order to deal with the problem of categ...
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IPC IPC(8): G06V10/764G06V10/762G06K9/62G06T3/00
CPCG06F18/23G06F18/24G06T3/06
Inventor 刘世霞向首兴叶曦李岩张志伟
Owner TSINGHUA UNIV