Much Ado About Time: Exhaustive Annotation of Temporal Data

Understand

Large-scale annotated datasets allow AI systems to learn from and build upon the knowledge of the crowd.

• Many crowdsourcing techniques have been developed for collecting image annotations.
• These techniques often implicitly rely on the fact that a new input image takes a negligible amount of time to perceive.
• In contrast, we investigate and determine the most cost-effective way of obtaining high-quality multi-label annotations for temporal data such as videos.