1、Your Definitive Guide to Data Labelingfor Machine Learning and Deep Learning ProjectsTable of ContentsE-Book-Your Defjnitive Guide to Data LabelingData labelin?Data labeling process02Labeling the data-need of the hour04Types of data labelin?Computer visio?Natural language processin?Audio processing0

2、6Improving effjciency and accuracy of data labelin?Active learning?How does it help?How does it work?08Essential components of data labelin?Annotation tool?Data qualit?Workforce mode?Pricin?Security11Factors to consider for a data labeling platform18Conclusion20Data has become a foundational require

3、ment for any project in recent years.Tiere is no shortage of data sources that generate large volumes of structured and unstructured data.Of late,unstructured data is proving to be an equal contributor to drawing actionable insights by leveraging machine learning and deep learning technologies when

4、this data is used for AI modeling projects.However,to do so,enterprises need tools and human resources to label that data to train,validate,and build quality models with high accuracy.We understand how important data labeling is for any machine learning and deep learning project.Our eBook acts as a

5、comprehensive handbook to data labeling requirements as we dive deeper into the essential elements of this vital but time-consuming task along with the best practices to label the data,and what to look for when choosing the right data labeling platform.Lets start with the basics!E-Book-Your Defjniti

6、ve Guide to Data Labeling011COLLECTData SourcingData ProfjlingAI Model Training&BuildingData IngestionData LabellingDeploy&IterateANALYZEORGANIZE02What is data labeling?Tie AI life cycle begins with collecting the data and organizing it.Data labeling-also synonymous with data annotation/tagging/clas