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The Evolving Trends in Data Annotation Platform

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The global market size of data annotation tools is expected to grow at a CAGR of 27.1% from 2021 to 2028, expected to reach USD 3.4 billion by 2028.

Quite evidently, these numbers show massive potential growth in the field of data annotation in the coming years. With the fast-paced development of technologies like AI and ML, the data annotation platform is transforming with various evolving trends.

Data annotation is moving towards a digitization approach where AI-enabled models are being trained to automate business processes, resulting in a shift in focus on achieving core organizational goals. However, before exploring the new dimensions of data annotation, let’s understand its concept.

What is Data Annotation?

Data annotation involves labeling the data, which is available in several formats like text, audio, video, and images. High-quality data annotation solutions range from customized document classification and summarization to document tagging and conversion. Improved AI implementations in data annotation result in better customer satisfaction in the form of product recommendations, chatbots, relevant search engine results, etc.

Now that you know what data annotation is and why it is helpful, let’s find out some of the evolving trends in this domain.

Emerging Trends in Data Annotation

The continuous expansion and rapid growth of the data annotation industry have resulted in more competition. With fewer entry barriers and more dependence on human resources, new requirements for the data annotation platforms are being put forward.

Shifting Focus on Quality Control

With an increase in the need for data annotation, more data annotation solutions are going in for production. In the coming years, quality control of large data sets will become the priority to make these solutions more effective for the training models of AI systems.

How? By building specialized teams for exclusive focus on quality control, professionals will be able to spot and fix issues in large data sets by leveraging their expertise.

Implementation of Predictive Annotation Tools

An emerging trend that will be witnessed in this field is the use of predictive data annotation tools capable of automatically detecting and labeling items based on the previous manual annotations.

How are these tools beneficial for the companies, you ask? The answer is simple – they limit human intervention in repetitive tasks, saving a lot of time and effort.

Rise in Subject-Specific Teams

With the increased use of AI in various industries, the need for trained data annotation teams is expected to witness a surge. Why? Because for every domain ranging from hospitality and healthcare to finance and logistics, teams with subject experts in data annotation are required for smooth functioning. By leveraging their expertise and professional guidance, the expert annotators can add value to the complete data annotation process from the authentication of guidelines all the way to final data delivery.

Delivering Customized Services

Industries have distinguished requirements for data annotation. It has a wide range of applications comprising autonomous driving, AI education, robots, intelligent security, etc. For instance, autonomous driving requires traffic recognition, vehicle and pedestrian labeling, lane identification, etc. In contrast, intelligent security requires face recognition and detection, visual search, etc.

By leveraging powerful AI/ML-driven technologies and the dynamic use of APIs and open-source tools, data annotation services focus on fulfilling different labeling requirements for the various annotation applications.

Increasing Use of Metadata in Datasets

A massive amount of data is required for the smooth running of AI-enabled annotation. But the question is, how to manage this data? This is where metadata comes into the rescue.

Metadata is collected for management and clarification of your data by eliminating any human errors. Many firms have started shifting focus on data annotation platforms that collect metadata to help annotators find, use, and navigate the data.

FiveS Digital – High-Quality Data Annotation Service Provider

FiveS Digital, a certified IT solutions provider, offers data annotation services that can help you eliminate unnecessary processes and incorrect inputs. With their efficient data annotation tools and features, you can save a significant amount of time, effort, and resources. By creating a perfect blend of artificial and human intelligence, FiveS Digital helps you maintain maximum accuracy at every business level.

So if you are looking for data annotation that opens up new avenues for data transformation, get in touch with a FiveS expert and get data annotation solutions that eliminate errors, increase efficiency, and streamline workflows.

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