Everything you should know about outsourcing Data Labeling and Annotation Service

The global data labeling market size was estimated to reach 1668.7 million USD by 2028. The market is also expected to surge in the adoption of the technology owing to the benefits of data labeling and data annotation services. A data annotation technique is used for making objects understandable as well as recognizable for machine learning models. It is critical for the developing machine learning industries like face recognition, aerial drone, autonomous driving, and other robotic applications.

The data annotation sector is led by the increasing growth of the AI industry. Presently, the commercialization of AI has reached the peak of basic maturity in computing algorithms. Hence, to cater efficiently data annotators have to reach the specific pain points in the industry.  

Advancement of Data Labeling and Annotation Market

Today, data determines the success of AI implementation, and data products in the future are highly customized data services that would become mainstream of the industry’s advancement.

After years of development, the data annotation industry has begun flourishing with massive growth. With the continuous expansion of the labeling market, there is an increased number of participants as well as competitors as hyped the data labeling and annotation market. With the improvement of the technical threshold, increased labor costs, changing demands of AI enterprises will face increasing cost pressure.

The Massive Industry Competition

There is a continuous extension of the market; there is a low entry threshold and increasing human resources. Today lots of small or medium-sized data service providers are clustered in the industry. And given the latest data, in the next two years, the industry is likely to usher in a wave of the shuffling period.

AI companies also put a lot of effort into offering new requirements for data service suppliers. The refinement, quality, and personalized data services are more popular demands. While on the supplier side, technical strength, aligned management, and more have brought new challenges.

Addressing the Customer Pain points is Challenging

The Data Annotation industry relies on high dependence on humans. Most data annotation services revolve around data classification, picture frame, annotation, and creating tags with certain labeling tools. But, due to inaccuracy data labelers do not encourage human-machine cooperation capability.

How to go for outsourcing Data Annotations services?

Machine learning projects usually need thousand of images and texts to be annotated and hiring a team must be very costly. It is much better to spend on core functions. Hence, outsourcing your data annotation projects empowers you to get more annotation work at a much less price. And joining hands with an experienced service provider will guide you through the implementation process. They also offer best-practice insights as they have many years of expertise in actualizing data annotation projects.

Let’s look at the five best benefits of outsourcing data labeling and annotation works

– Helps you cut down your budget

– High-quality annotation work

– Improved time management

– Better scalability

– Efficient data security

If you’re interested in Outsourcing Data Labeling and Annotation Services, Data Labeler is your go-to guy!

Data Labeler is the best place for high-quality personalized labeled data sets.

We perform accurate data annotation that might be difficult when you don’t know what you’re looking for.

Contact us now for more information – sales@datalabeler.com