Answers Key Questions About Getting Started With Data Annotation ACCORDING TO A 2020 REPORT ON THE STATE OF AI AND ML, ORGANIZATIONS REVEALED THAT THEY WERE USING 25% MORE DATA TYPES THAN THE PREVIOUS YEAR.
What is Data Annotation Exactly? And Why do you need it? Data Annotation helps build a defensible data stack and supply an ML model with what it needs to understand and analyze various data inputs to produce accurate outputs.
01
How Much Data Do You Need to be Annotated?
02
Do You Need It for the Initial Model Launch or Production? the annotation of training data for an initial model launch like a new self-driven car or annotation for a model already in production.
Quite honestly, no one can possibly answer this question. However, in some instances, certain benchmarks can be established based on the project’s requirements.
03
Do You Need Subject Matter Experts or Not?
04
Should You Outsource or Set Up In-House? According to a report by Nasscom, the global spend on outsourcing and third-party data annotation solutions is estimated to reach 7X by 2023 compared to 2018.
Learn more at:
you can either invest in data annotation solutions and hire a team of in-house experts with expertise in the domain or outsource the entire process
05
WWW.FIVESDIGITAL.COM