This paper discusses a reconstruction challenge held as a part of the second 3D Reconstruction meets Semantics workshop (3DRMS). The challenge goals and datasets are introduced, including both synthetic and real data from outdoor scenes, here represented by gardens with a variety of bushes, trees, other plants and objects. Both qualitative and quantitative evaluation of the challenge participants' submissions is given in categories of geometric and semantic accuracy. Finally, comparison of submitted results with baseline methods is given, showing a modest performance increase in some of the categories.