Unlock instant, AI-driven research and patent intelligence for your innovation.

Data labeling method and platform

A platform and data technology, applied in the field of data labeling methods and platforms, can solve problems such as the need to improve labeling efficiency, and achieve the effect of reducing manual correction, improving labeling efficiency, and ensuring accuracy

Pending Publication Date: 2021-09-03
SHANGHAI SENSETIME TECH DEV CO LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in related technologies, when using active learning for data labeling, the labeling efficiency needs to be improved

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Data labeling method and platform
  • Data labeling method and platform
  • Data labeling method and platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of the present disclosure, the following will describe the technical solutions in one or more embodiments of the present disclosure in conjunction with the drawings in one or more embodiments of the present disclosure The technical solutions are clearly and completely described, and obviously, the described embodiments are only some of the embodiments of the present disclosure, rather than all the embodiments. Based on one or more embodiments of the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present disclosure.

[0025] The data labeling method provided by the embodiments of the present disclosure may be based on active learning. Among them, the active learning algorithm can actively select some unlabeled data from the data set to be label...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention provides a data labeling method and platform, and the method comprises the steps: training a machine learning model through a labeled picture set in a picture sample set, and carrying out the model prediction of an unlabeled picture set in the picture sample set through the trained machine learning model, obtaining a prediction result corresponding to each picture sample in the unlabeled picture set; in response to the condition that the model precision of the trained machine learning model meets a preset precision condition, pre-labeling picture samples in the unlabeled picture set according to a prediction result, and displaying a pre-labeling result on a labeling interface; and obtaining a pre-labeling result after verification and confirmation, and taking the pre-labeling result as a sample labeling result corresponding to the picture sample. According to the embodiment of the invention, the data labeling efficiency is improved.

Description

technical field [0001] The present disclosure relates to machine learning technology, in particular to a data labeling method and platform. Background technique [0002] In order to produce data sets for model training in the field of artificial intelligence, it takes a lot of time, manpower and cost to label the data. How to reduce the cost of manual labeling is one of the core issues that the data labeling platform focuses on. Among them, active learning is a training data screening method for machine learning. It can automatically find high-value data. Compared with manual operation, the use of active learning can help build better dataset, and use very little data to train an efficient model, thereby reducing the cost of labeling. However, in related technologies, when active learning is used for data labeling, the labeling efficiency needs to be improved. Contents of the invention [0003] In view of this, the embodiments of the present disclosure at least provide a...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00G06K9/62G06F16/58G06F16/55
CPCG06N20/00G06F16/5866G06F16/55G06F18/214
Inventor 钟华平亢颖何聪辉
Owner SHANGHAI SENSETIME TECH DEV CO LTD