Quality_Assurance_in_Data_Annotation-01

06

Jan

Quality Assurance in Data Annotation: Best Practices for Superior ML Models

In the bustling world of machine learning, the race for the most powerful, most insightful algorithms is always on. In this pursuit, the data annotators play the most crucial work behind the curtains. Their meticulous labeling and classification form the very foundation of ML models. However, this essential role comes with its own side of difficulties, which […]

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Data_Annotation_for_Facial_Recognition-01

03

Jan

Data Annotation for Facial Recognition: Privacy and Security Considerations

With the development of technology, the biggest threat to a person’s personal life was the advancing nature of the tech, making keeping things private difficult. To avoid this phenomenon, a new kind of security was released, which we know today as facial recognition. Facial recognition technology, with its promises of enhanced security and convenience, is rapidly weaving[…]

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