This is a must-have e-book for anyone doing data labeling for Machine Learning/AI. It is about the pros, cons, and use cases of two popular data labeling approaches from our partner Toloka.

It covers the following topics:

-How data labeling is carried out today

-The pros and cons of in-house vs. crowdsourced data labeling:

• Real-life use cases: crowdsourced data labeling

• Identity verification: ID R&D 8

• Geo-analysis and hot spot prediction: BestPlace

• E-commerce catalogue localization: AliExpress 10

-Questions to consider when choosing a data-labeling method