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How Computer Vision Teams Label Data for Autonomous Vehicles

How Computer Vision Teams Label Data for Autonomous Vehicles

Getting training data for computer vision models that can detect and recognize objects in images is one thing. Training autonomous vehicles to see everything in the scene is quite another.

What does an oncoming vehicle look like on a sunny summer day? How about on a rainy road at night? How do you accurately label objects that aren’t simple to define—like gaps in trees with sky in between? What about snow on the ground: Do you tag the snow, the ground, or both?

In a webinar this week, Mighty AI Chief Product Officer Matt Shobe explored these challenges and shared how computer vision teams can label data for autonomous vehicles at scale. Check out the recording below.