Generate high-quality 3D ground-truth shapes for reconstruction evaluation is extremely challenging because even 3D scanners can only generate pseudo ground-truth shapes with artefacts. We propose a novel data capturing and 3D annotation pipeline to obtain precise 3D ground-truth shapes without relying on expensive 3D scanners. The key to creating the precise 3D ground-truth shapes is using LEGO models, which are made of LEGO bricks with known geometry. The MobileBrick dataset provides a unique opportunity for future research on high-quality 3D reconstruction thanks to two distinctive features: 1) A large number of RGBD sequences with precise 3D ground-truth annotations. 2) The RGBD images were captured using mobile devices so algorithms can be tested in a realistic setup for mobile AR applications.