Xiilab acquired the highest grade of national certified synthetic data quality ‘Class A’
Xiilab has received the highest grade in the Data Quality Certification (DQ Certification), a project organized by the Ministry of Science and ICT and the Korea Data Agency. DQ Certification is a system for evaluating and certifying data quality in accordance with the Base Act on the promotion of the data industry and the promotion of data use.
In this project, Xiilab certified
the data of ‘LVM Automobile’ and ‘Logo’ and received a Class A rating from
Wisestone, a leading Korean data quality certification agency, in the process
of proving the quality of about 20,000 object and labelling data.
X-GEN is a synthetic data generation platform that automatically
generates more than 100 pieces of data per minute by reproducing various variables
and scenarios such as weather conditions, time, and camera angle. This allows
users to save time and money and efficiently build datasets for AI training.
With this data quality certification, Xiilab has achieved the first-ever case in Korea where synthetically
generated data has been recognized for its quality in an objective evaluation
of the reliability and value of self-generated data.
Lee Moon Kyu, the head leader of Xiilab, said “The Class A
data quality certification is a result of our proven data generation and
management technology,” and added, “We will continue to contribute to the
development of the industry by securing high-quality data to address the
problem of AI and data shortage.
“Xiilab’s LVM synthetic dataset has
presented new possibilities for efficiently obtaining high-quality data
required for AI learning,” said Lee Young Seok, CEP of Wisestone. “It is expected
to greatly contribute to the development of AI technology by generating
high-quality data reflecting various variables to speed
up the development of AI models and improve accuracy, while also safely
generating a variety of data, including rare cases and dangerous situations.”
https://www.hellot.net/news/article.html?no=97595
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