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--- |
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license: cc-by-4.0 |
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pretty_name: IPD |
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--- |
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# BOP DATASET: IPD |
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## Dataset parameters |
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* Objects: 10 |
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* Object models: Mesh models |
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* Modalities: Three cameras are placed in each scene. Image, depth, angle of linear |
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polarization (AOLP), and degree of linear polarization (DOLP) data |
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are rendered for each camera. |
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## Training PBR images splits |
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Scenes 000000–000004 contain objects 0, 8, 18, 19, 20. |
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Scenes 000005–000009 contain objects 1, 4, 10, 11, 14. |
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## Dataset format |
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General information about the dataset format can be found in: |
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https://github.com/thodan/bop_toolkit/blob/master/docs/bop_datasets_format.md |
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## References |
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[1] Agastya Kalra, Guy Stoppi, Dmitrii Marin, Vage Taamazyan, Aarrushi Shandilya, |
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Rishav Agarwal, Anton Boykov, Tze Hao Chong, Michael Stark; Proceedings of the |
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IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, |
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pp. 22691-22701 |
