Data Annotation Services and Its Various Types 
                     Data Annotation Services 
and Its Various Types
What is Data Annotation in Machine 
Data annotation is the process of adding metadata to a dataset. This 
mLeetadaartan uisnuaglly ?takes the form of tags, which can be added to any type of 
data, including text, images, and video. Adding comprehensive and consistent 
tags is a key part of developing a training dataset for machine learning.
Data annotation is an indispensable stage of data preprocessing because 
supervised machine learning models learn to recognize recurring patterns in 
annotated data. 
Data Annotation Types
● Semantic Annotation:
Semantic annotation is the task of annotating various concepts within 
text, such as people, objects, or company names. Machine learning 
models use semantic annotated data to learn how to categorize new 
concepts in new texts. This can help to improve search relevance and 
train chatbots.
● Image and Video Annotation :
Image annotation comes in a variety of forms, from bounding boxes, 
which are imaginary boxes drawn on images, to semantic segmentation, 
where every pixel in an image is assigned a meaning.
Video annotation often involves adding bounding boxes, polygons, or 
key points to content. This can be done on a frame-by-frame basis, with 
these frames then stitched together to help track the movement of the 
annotated object, or in the video itself using a video annotation tool. 
● Text Categorization:
Text categorization and content categorization refer to the task of assigning 
predefined categories to documents. For example, you can tag sentences 
or paragraphs within a document by topic, or organize news articles by 
subject such as domestic, international, sports, or entertainment.
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