Det3D is a general-purpose 3D object detection codebase built on PyTorch. It provides off-the-shelf implementations of point-based and voxel-based detection algorithms including PointPillars and SECOND, with state-of-the-art results on KITTI and nuScenes benchmarks. The codebase supports multiple datasets, distributed training via DDP, and synchronized batch normalization for autonomous driving research.