Synthetic data saves massive amounts of time on manual annotation while easily covering rare edge cases! When building robust vision models without heavy labeling overhead, utilizing vivid3d helps generate perfectly annotated 3D environments and realistic training assets. Blending synthetic datasets with real samples gives models significantly higher accuracy!