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The Data Labeler Blog

Your Expert Guide to Community Building.

5 Strategies to make way for Successful Data Labeling Operations
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August 24, 2023

5 Strategies to make way for Successful Data Labeling Operations

The global market for data annotation and labeling reached USD 0.8 billion in 2022 and isprojected to grow at a CAGR of 33.2% to reach USD 3.6 billion by the end of 2027. Datalabeling activities are now a crucial part of creating and training a computer vision model. Managing the entire lifecycle of data labeling […]

How Data Labeling is Advancing & Benefitting the E-commerce World?
admin
August 16, 2023

How Data Labeling is Advancing & Benefitting the E-commerce World?

The report predicts that by 2028, the global market for data annotation will be worth USD 8.22 billion. Additionally, a CAGR of 26.6% is predicted for the global market for data annotation services through 2030; by that time, it is likely to be worth US$ 5.3 billion. The traditional supply of intensive manual labeling has […]

What is the future of Data Labeling and how it matters?
admin
August 08, 2023

What is the future of Data Labeling and how it matters?

Over the years, authors of science fiction have created vivid images of future societies inwhich robots and artificial intelligence (AI) are integral parts of daily life. Nowadays, it isfeasible to deploy AI because of the technological advancements that have been created. AIis pervasive, addressing issues in business, manufacturing, customer service, medical, andeven people’s everyday lives.Another […]

Realize the Real Power of High-Quality Data Annotation in AI Development
admin
August 02, 2023

Realize the Real Power of High-Quality Data Annotation in AI Development

Today’s businesses depend on data to function, but as many businesses are learning, thequality of that data is becoming more important than the quantity. For machine learningprojects to be successful, it is essential to have highly reliable training data. Businesses thatseek to train models using less reliable data are discovering that accuracy eventuallydecreases. These models […]

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