Data Annotation
February 20, 2026
Learn why egocentric data is essential for training robots in real life, how it differs from normal video standards, and what it takes to capture...
Explore synthetic data vs real data for robotics, including simulation, real-world datasets, and sim-to-real techniques for scalable robot training.
Explore how egocentric data collection supports robotics and embodied AI by capturing first-person vision, actions, and real-world human–object interactions.
Explore key classification metrics such as precision, recall, F1 score, and the calibration curve. Learn how to evaluate AI and machine learning models.
Learn how computer vision in transportation enhances safety, efficiency, and sustainability through real-time traffic insights and smart mobility systems.
Learn about the difference between machine learning vs. deep learning vs. computer vision and how these technologies work together to build smarter AI systems.
Explore how generative AI in procurement improves sourcing speed, reduces risk, and supports smarter, data-driven decisions across the lifecycle.
Join us as we explore what is content moderation, how platforms apply it across multimedia, and how AI and human reviewers keep online spaces safe.
Find out how media annotation and content tagging supercharge AI systems’ ability to understand audio and video, creating faster and more intuitive experiences.
