Data Annotation in 2020

Data Annotation in 2020 is used to create huge amounts of annotated data like pictures text images videos that are used to train machines and make them functional for AI-based projects. With accurate Data Annotation machines can improve their learning and AI keeps evolving. It covers many important areas of speech recognition on our smartphones, autonomous vehicles, E-commerce, cybersecurity, healthcare, and many more financial activities. 

Starting with a Fact 

The global data annotation tools market size was valued at USD 390.1 million in 2019 and is projected to register a CAGR of 26.9% from 2020 to 2027. Data annotation is expected to play a major role in enhancing the applications of AI in the healthcare sector and many other sectors. 

Data Annotation Necessity in 2020 

A necessary principle is the ability to deliver data annotation and data labeling at scale. Working with hundreds of workforce to annotate as per the demand and providing a completely scalable solution to meet different clients’ needs.

It’s a very important task for machine learning because data scientists need to use clean, annotated data to train machine learning models in today’s time. Data annotation is important in machine learning in many use cases, as it makes the work of the machine learning program much easier and accurate.

Data Annotation in 2020 =  Improves the accuracy of data 

Data Annotation in 2020  = Better quality training data 

Data Annotation in 2020 = Better results 

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It’s one of the most initial and important steps in 2020 

Industries that most importantly require Data Annotation in 2020

 Without any doubt, the data-labeling and Data Annotation industry is spreading Globally and will continue to grow in the future as well 

  • IT
  • Automotive
  • Government
  • Healthcare
  • Financial Services
  • Retail
  • E=commerce
  • Transport 
  • Education 
  • Agriculture 
  • Cybersecurity 
  • Manufacturing 

Experienced Data Annotators 

The most important principle to cover under Human-in-the-loop machine learning is to have well-experienced data annotators to run the AI project in a perfect manner. As efficient and effective Professionals,  trained teams & Experienced data annotators will make the human in the loop machine learning easier & faster. Talking about now that is the present year 2020 

Well trained annotators for every project provides High-quality and accurate data with less turnaround time. 

Data Annotation Tool 

A data annotation tool is a cloud-based, on-premise, or containerized software solution that can be used to annotate production-grade training data for machine learning. It’s important to wisely choose the right data annotation tool so as to ensure accurate data for machine learning models. Annotation tools make the annotation process simpler & faster. But sometimes choosing a suitable tool is a time taking and tricky task. So, the tricky part is to think wisely about your tooling needs now and into the future. 

Thus, Annotated & Labeled Data + Machine Learning = Strong AI system for projects like Chatbots, Medical sector Self-driving Cars & E-commerce, etc in the year 2020 and many years to come

Pick the best Data Labeling company for Qualitative Data Annotation and Data Labeling services. 

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