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Mission

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.

6D object pose estimation

Publications

Workshops on Recovering 6D Object Pose (R6D)

The BOP benchmark is organized together with the R6D workshops held at international conferences (ECCV and ICCV). The workshops feature invited talks by experts in the field, oral/poster presentations of accepted workshop papers, discussion on open problems, and are attended by people working on relevant topics in academia and industry.

Organized R6D workshops: 9th edition (ECCV'24), 8th edition (ICCV'23), 7th edition (ECCV'22), 6th edition (ECCV'20), 5th edition (ICCV'19), 4th edition (ECCV'18), 3rd edition (ICCV'17), 2nd edition (ECCV'16), 1st edition (ICCV'15).

BOP Toolkit

Python code for reading the BOP dataset format, evaluation, visualization, etc. are provided in the BOP Toolkit.

Contact

bop.benchmark@gmail.com