Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation

18 Apr 2018 Jonathan Tremblay Thang To Stan Birchfield

We present a new dataset, called Falling Things (FAT), for advancing the state-of-the-art in object detection and 3D pose estimation in the context of robotics. By synthetically combining object models and backgrounds of complex composition and high graphical quality, we are able to generate photorealistic images with accurate 3D pose annotations for all objects in all images... (read more)

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