Almost all companies today annotate their data to fuel their machine learning projects. From bounding boxes to semantic segmentation data annotation aids multiple industries and sectors to overcome their everyday operational challenges effortlessly. Read more - https://bit.ly/3chHTlw

1. How Data Annotation
is Changing the Future
of Businesses?

2. Data Annotation is a rigorous task of labeling data with metadata while preparing it to train a
Machine Learning model. Data and metadata come in multiple forms, which include content
types such as audio, text, images, or videos. These annotated datasets can be further used for
training autonomous vehicles, chatbots, or translation systems.
Common Types of Data Annotation:
 Image & Video Annotation
 Semantic Annotation
 Text Categorization
Introduction

3. Various companies use data annotation services to make the best use of it by combining a
human-assisted approach with machine-learning. They also provide high-quality training
data that offers you the confidence to deploy your AI and ML models at scale.
Data Labeler could help you
- Highly Accurate Labeled Data
- Options on Real-time Labeling
- Guidance on Labeling Instruction and more
How brands are benefitting from Data Annotation?

4.  Data Labeler offers high-quality labeled datasets which are accurate, convenient,
expedited, and customized for AI and ML initiatives. Click here -
https://www.datalabeler.com/how-data-annotation-is-changing-the-future-of-
businesses/
 Contact us for detailed information - Sales@DataLabeler.com