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

介绍了Objectron数据集，旨在推进3D物体检测等新兴研究领域的发展，数据集中有九个类别的注释短视频，包含了1400万个注释图像和14819个注释视频。同时，提出了一种新的评估指标，3D Intersection over Union，证明了数据集在推进3D物体检测任务方面的有用性。提供了在该数据集上训练的基准模型。

Objectron：一个对野外物体为中心的大规模视频数据集，带有姿态标注