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Semantic Segmentation labeling for Autonomous Vehicles

Mothi Venkatesh
July 17, 2018

The Semantic Segmentation or Pixel-level labeling is used to label each and every pixel in the image. Unlike polygonal segmentation devised specifically to detect a defined object of interest, full semantic segmentation provides a complete understanding of every pixel of the scene in the image. This kind of for detection and localization of specific objects in pixel-level.

There are three main use cases in semantic segmentation:

Complex cases handled by Playment:

See how Playment differs from traditional crowdsourcing.As semantic segmentation involves pixel-wise accuracy, it has the highest time and cost per annotation. Playment is a fully managed data labeling platform generates high-quality annotations at scale. We combine both machine learning and human intelligence in a single platform for enabling better autonomous vehicle systems.Part 3: Improve Facial Recognition using Semantic SegmentationKnow more about the Image annotation services by Playment here.