Sample data processing method and device, electronic equipment and medium
A sample data and processing method technology, applied in the field of big data processing, can solve the problems of high cost and low efficiency, and achieve the effect of improving training efficiency and accuracy, and improving labeling efficiency
Pending Publication Date: 2022-05-27
QIANXUN SPATIAL INTELLIGENCE INC
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Problems solved by technology
[0003] At present, the labeling of sample data mainly relies on manual work. Although the labeling accuracy of manual labeling is high, its efficiency is very low and the cost is high. Therefore, improving the efficiency of sample labeling has become the focus of research.
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[0036] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments, however, can be embodied in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.
[0037] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be employed. In other instances, well-known met...
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The embodiment of the invention provides a sample data processing method, a sample data processing device, electronic equipment and a computer readable medium. Relates to the technical field of big data processing. The sample data processing method comprises the following steps: S1, training by using a training data set containing labels to obtain a screening model; s2, acquiring to-be-processed sample data, and carrying out primary annotation on the to-be-processed sample data; s3, a processing result of the to-be-processed sample data is output through the screening model, the processing result comprises confidence, available samples in the to-be-processed samples are extracted according to the processing result, and the confidence output by the screening model to the available samples is smaller than a first threshold value; and S4, carrying out secondary annotation on the available samples by utilizing the primary annotation, and expanding the training data set by utilizing the available samples containing the secondary annotation. According to the technical scheme provided by the embodiment of the invention, the sample labeling efficiency and accuracy can be improved.
Description
technical field [0001] The present disclosure relates to the technical field of big data processing, and in particular, to a sample data processing method, a sample data processing apparatus, an electronic device, and a computer-readable medium. Background technique [0002] In recent years, the development of machine learning technology has become faster and faster, and it has gradually become the core technology in various fields, such as image recognition, natural language processing, automatic driving and so on. Machine learning technology needs to obtain sample data, and then mark the sample data to establish the mapping relationship between the input and output of the sample data and obtain the model. Therefore, the labeling of the sample data is very important. [0003] The labeling of sample data currently mainly relies on manual work. Although the labeling accuracy of manual labeling is high, its efficiency is low and the cost is high. Therefore, improving the effic...
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Login to View More IPC IPC(8): G06K9/62G06N20/00
CPCG06N20/00G06F18/241G06F18/214
Inventor 赵一欣李雨朋金砺耀
Owner QIANXUN SPATIAL INTELLIGENCE INC