  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.
We demonstrate the usefulness of our dataset in 3D object detection tasks by
providing baseline models trained on this dataset. Our dataset and evaluation
source code are available online at http://www.objectron.dev

Computer Vision and Pattern Recognition