SIDOD
Introduced by Jalal et al. in SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with Distractors
SIDOD is a new, publicly-available image dataset generated by the NVIDIA Deep Learning Data Synthesizer intended for use in object detection, pose estimation, and tracking applications. This dataset contains 144k stereo image pairs that synthetically combine 18 camera viewpoints of three photorealistic virtual environments with up to 10 objects (chosen randomly from the 21 object models of the YCB dataset) and flying distractors.
Source: SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with DistractorsPapers
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