Benchmarks are popular method of getting knowledge engaging scientists from many countries conducted research projects together. Some of latest benchmarks (and datasets) related to sensors and algorithms is presented below. It is for sure not complete but it can be an inspiration for authors of research works that can be presented during the planned GEOBENCH workshop.

• TIME - Historical Aerial Image

• Benchmark Metadata Database

• ISPRS / EuroSDR Benchmark for Multi-Platform Photogrammetry

• Multi-purpose benchmark for assessing the performance of the entire image-based pipeline for 3D urban reconstruction and 3D data classification

• Benchmark on High Density Aerial Image Matching

• Hessigheim 3D (H3D) benchmark on semantic segmentation of point clouds and meshes

• ArCH - Classification of large-scale 3D heritage point clouds

• Project Benchmarking on Terrestrial Laser Scanning for Forestry Applications

• YTU3D - A datet for urban point cloud classification

• Monocular depth estimation in architectural scenarios

• Large-Scale Point Cloud Classification Benchmark

• The KITTI Vision Benchmark Suite

• 3D sensors and systems for metrology and industrial vision

• GeoBIM benchmark 2019

• USAGE-Geospatial - urban datasets to boost progresses of geospatial procedures

• NeRFBK - A holistic benchmark for NeRF-based 3D reconstruction

• ESTATE: A Large Dataset of Under-Represented Urban Objects for 3D Point Cloud Classification

A recent article summarizing benchmark status and trends is available here.