HOME | DD

Description
Use of artificial intelligence and machine learning technologies has made the facial recognition process carried out in real-time. There are two processes that matter the most in the development of an AI. These are data collection and data labeling. Both high quality data and secure data annotation solutions have a dramatic impact on technology development.
When images in the dataset are not high quality, not diverse enough or have too many errors, even the best technology falls short. Additionally, when dealing with large amounts of sensitive data, its usage, access or even a potential breach all are serious issues that must be accounted for.

Description
Use of artificial intelligence and machine learning technologies has made the facial recognition process carried out in real-time. There are two processes that matter the most in the development of an AI. These are data collection and data labeling. Both high quality data and secure data annotation solutions have a dramatic impact on technology development.
When images in the dataset are not high quality, not diverse enough or have too many errors, even the best technology falls short. Additionally, when dealing with large amounts of sensitive data, its usage, access or even a potential breach all are serious issues that must be accounted for.