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The goal of BOP is to capture the state of the art in estimating the 6D pose, i.e. 3D translation and 3D rotation, of rigid objects in RGB/RGB-D images. 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.
A. G. Buch,
BOP: Benchmark for 6D Object Pose Estimation, European Conference on Computer Vision (ECCV) 2018, Munich.
[pdf, slides, poster, bib]
Download the BOP Toolkit with python scripts for reading the standard dataset format, rendering, evaluation etc.