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Volume: 32 | Article ID: art00011
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Extra FAT: A Photorealistic Dataset for 6D Object Pose Estimation
  DOI :  10.2352/ISSN.2470-1173.2020.8.IMAWM-221  Published OnlineJanuary 2020
Abstract

We introduce a new image dataset for object detection and 6D pose estimation, named Extra FAT. The dataset consists of 825K photorealistic RGB images with annotations of groundtruth location and rotation for both the virtual camera and the objects. A registered pixel-level object segmentation mask is also provided for object detection and segmentation tasks. The dataset includes 110 different 3D object models. The object models were rendered in five scenes with diverse illumination, reflection, and occlusion conditions.

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Jianhang Chen, Daniel Mas Montserrat, Qian Lin, Edward J. Delp, Jan P. Allebach, "Extra FAT: A Photorealistic Dataset for 6D Object Pose Estimationin Proc. IS&T Int’l. Symp. on Electronic Imaging: Imaging and Multimedia Analytics in a Web and Mobile World,  2020,  pp 221-1 - 221-7,  https://doi.org/10.2352/ISSN.2470-1173.2020.8.IMAWM-221

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