SIDOD: A synthetic image dataset for 3D object pose recognition with distractors
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Jalal, M; Spjut, J; Boudaoud, B; Betke, M
Published in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
June 1, 2019
We present 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. Object and camera pose, scene lighting, and quantity of objects and distractors were randomized. Each provided view includes RGB, depth, segmentation, and surface normal images, all pixel level. We describe our approach for domain randomization and provide insight into the decisions that produced the dataset.
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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
DOI
EISSN
2160-7516
ISSN
2160-7508
Publication Date
June 1, 2019
Volume
2019-June
Start / End Page
475 / 477
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Jalal, M., Spjut, J., Boudaoud, B., & Betke, M. (2019). SIDOD: A synthetic image dataset for 3D object pose recognition with distractors. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vol. 2019-June, pp. 475–477). https://doi.org/10.1109/CVPRW.2019.00063
Jalal, M., J. Spjut, B. Boudaoud, and M. Betke. “SIDOD: A synthetic image dataset for 3D object pose recognition with distractors.” In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019-June:475–77, 2019. https://doi.org/10.1109/CVPRW.2019.00063.
Jalal M, Spjut J, Boudaoud B, Betke M. SIDOD: A synthetic image dataset for 3D object pose recognition with distractors. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2019. p. 475–7.
Jalal, M., et al. “SIDOD: A synthetic image dataset for 3D object pose recognition with distractors.” IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2019-June, 2019, pp. 475–77. Scopus, doi:10.1109/CVPRW.2019.00063.
Jalal M, Spjut J, Boudaoud B, Betke M. SIDOD: A synthetic image dataset for 3D object pose recognition with distractors. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2019. p. 475–477.
Published In
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
DOI
EISSN
2160-7516
ISSN
2160-7508
Publication Date
June 1, 2019
Volume
2019-June
Start / End Page
475 / 477