2020

Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations

Ahmadyan, Adel, Zhang, Liangkai, Wei, Jianing et al.

Understand

3D object detection has recently become popular due to many applications in robotics, augmented reality, autonomy, and image retrieval.

  • We introduce the Objectron dataset to advance the state of the art in 3D object detection and foster new research and applications, such as 3D object tracking, view synthesis, and improved 3D shape representation.
  • The dataset contains object-centric short videos with pose annotations for nine categories and includes 4 million annotated images in 14,819 annotated videos.
  • We also propose a new evaluation metric, 3D Intersection over Union, for 3D object detection.

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