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The goal of BOP is to capture the state of the art in 6DoF object pose estimation and related tasks such as 2D object detection and segmentation. An accurate, fast, robust, scalable and easy-to-train method that solves this task will have a big impact in application fields such as robotics or augmented reality.
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Homepage: https://bop.felk.cvut.cz/home/
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BOP Toolkit: https://github.com/thodan/bop_toolkit
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<details><summary>Downloading datasets</summary>
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The goal of BOP is to capture the state of the art in 6DoF object pose estimation and related tasks such as 2D object detection and segmentation. An accurate, fast, robust, scalable and easy-to-train method that solves this task will have a big impact in application fields such as robotics or augmented reality.
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Homepage: https://bop.felk.cvut.cz/home/
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BOP Toolkit: https://github.com/thodan/bop_toolkit
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<details><summary>Downloading datasets</summary>
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