synthetic-computer-vision

Why we included this project

Computer vision teams that want to train models without hand-labeling real footage will find this repo a useful map of the synthetic-data field. It gathers virtual-world datasets, 3D model collections, and rendering tools, with each entry pointing to the paper, code, and project page, so you can compare options like synthetic driving scenes, indoor room datasets, and procedural human videos in one place. The tools section goes further, listing simulators and renderers such as UnrealCV, CARLA, AirSim, and Blender-based pipelines for generating your own annotated imagery. It is a community-maintained index rather than software you deploy, and it reads best as a survey of what exists and how the approaches differ.