DATA ANNOTATION.
WHAT IS DATA ANNOTATION?
Data annotation is the process by which humans can tag content or label data in the form of text, audio or images, so it can be understood by the machine to generate a prediction or conclusion.
In other words, Data Annotation is a technique to label any data in a machine so that the devices can recognize it in various forms, such as text, audio, or video.
TYPES OF DATA ANNOTATION.
There are different types of Data Annotation based on their unique and additional labeling features, which are given below:
- TEXT ANNOTATION
Text Annotation is labeling sentences with more or additional information, and it is an activity that trains machines to understand the text better. It assigns categories to a sentence or paragraph based on topics.
It simplifies the reader’s understanding and makes sentences meaningful. Text annotation should be done carefully because wrong annotated data can lead to irrelevant or misleading information. AL machines are driven only through text annotation. - IMAGE ANNOTATION.
With Data Annotation, objects are labeled in the form of images. Image Annotation is the process of labeling images. - VIDEO ANNOTATION.
Video annotation is a technique that involves teaching computers to recognize objects from several videos. It is the subsection of artificial intelligence. It is essential for object location and tracking. - AUDIO ANNOTATION.
It involves differentiating various audio components from people, animals, or musical instruments. It is mainly used for virtual assistants, voice recognition, or security system developments.
FUTURE OF DATA ANNOTATION
The Data annotation market is excepted to grow at 25.6% in the next few years. The demand has increased with the rise of language models and AI tools. According to a recent report from analytics India, it will grow from USD 1.5billion in 2019 to USD 3.5billion in 2024. Data annotation will also increase with the growing demand of the digital world.
Another essential feature is this helps in security and surveillance, such as airport security or border vigilance.
DATA ANNOTATION COMPANY’s primary focus is to create and improve Al- tools and implementations. It helps customers to find solutions such as product recommendations, findings by audio, and search engine results. Organizations started using 25% different data types in 2020 compared to previous years.
Now the question comes up, How does a data annotation company work?
Companies build an AI( Artificial Intelligence) model that behaves like a human and solves all queries, but it requires a lot of training time and data. Everything has been performed via data annotation as it is trained to make decisions and take action. Training data must be appropriately arranged and annotated based on a specific topic.
