Answers Key Questions About Getting Started With Data Annotation

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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.
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How Much Data Do You Need to be Annotated?
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Quite honestly, no one can possibly answer this
question. However, in some instances, certain
benchmarks can be established based on the
projects requirements.
Do You Need It for the Initial Model Launch or
Production?
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the annotation of training data for an initial
model launch like a new self-driven car or
annotation for a model already in production.
Do You Need Subject Matter Experts or Not?
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you can either invest in data
a nnotation solutions and hire a team of
in-house experts with expertise in the domain
or outsource the entire process
Should You Outsource or Set Up In-House?
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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
W W W . F I V E S D I G I T A L . C O M