Data Labeling Vs Data Annotation

1
Different options for D a t a L a b e l i n g V
s D a t a A n n o t a t i o n
M A C H I N E L E A R N I N G I S O N E O F T H E
M O S T A C T I V E R E S E A R C H A R E A S I
N A R T I F I C I A L I N T E L L I G E N C E ( A
I ) .
W H A T I S D A T A A N N O T A T I O N ? Data
annotation Solutions are those labeling data to
make it easier for the machine to understand and
remember the input data.
W H A T I S D A T A L A B E L I N G ? Data
labeling is useful for developing advanced
algorithms that can recognize patterns in the
future. labeling the data is tagging it or
adding metadata so machines can understand and
learn from it.
L E T S S E E T H E D I F F E R E N C E B E T W
E E N D A T A A N N O T A T I O N A N D D A T A
L A B E L I N G
S I G N I F I C A N C E Data annotation services
refers to labeling data for the machine to
understand and remember the input data.
S C O P E Data annotation services are used to
create visual perception models. However, labels
are used to identify data features for NLP
algorithms. Annotation is easier than Labeling.
C O N C L U S I O N
D ata annotation platform is an essential element
of creating training data for computer
visualization. Machine learning algorithms need
to be trained using annotated data to see the
world the same way we see it.
W W W . F I V E S D I G I T A L . C O M