基于众包模式的数据采集和标注系统研究  

Research on Data Acquisition and Annotation System Based on Crowdsourcing Mode

作　　者：李贞 刘海燕[1] 庞禄申 

机构地区：[1]北华航天工业学院,河北廊坊065000

出　　处：《大众科技》2021年第10期15-18,共4页Popular Science & Technology

基　　金：北华航天工业学院创新资助项目(No.YKY-2021-19)。

摘　　要：数据是人工智能和机器学习的基础,但不是所有数据都具有研究价值,这就需要技术人员根据不同的应用场景对数据进行采集、筛选和标注。数据采集标注等数据服务行业空前繁荣,但数据在成本、效率、质量等方面仍有一定的弊端,因此,构建一个基于众包模式下,以微信小程序为客户端的数据采集和标注系统,用于实现众包模式下的数据采集和标注系统,可以在一定程度上解决市面上已存在系统的一些效率慢、成本高、数据质量参差不齐的问题。通过众包模式和激励机制思想,提升数据采集和标注的维度和精度,同时降低人工成本,提供大量的数据为机器学习的训练做数据支撑,模拟人类活动进行深度学习。Data is the basis of artificial intelligence and machine learning,but not all data have research value,which requires technicians to collect,filter and label the data according to different application scenarios.Data collection and labeling and other data service industries are unprecedentedly prosperous,but data still has certain disadvantages in terms of cost,efficiency and quality.Therefore,build a data collection and labeling system based on crowdsourcing mode and wechat applet as the client to realize the data collection and labeling system under crowdsourcing mode,To some extent,it can solve the problems of slow efficiency,high cost and uneven data quality of the existing system in the market.Through the idea of crowdsourcing mode and incentive mechanism,improve the dimension and accuracy of data acquisition and annotation,reduce labor costs,provide a large amount of data and support for machine learning training,and simulate human activities for in-depth learning.

关 键 词：众包 数据标注 数据采集 微信小程序 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]