cvpods is a research-focused computer vision framework built on PyTorch that provides unified implementations for tasks including object detection, semantic/instance segmentation, classification, keypoint detection, self-supervised learning, and 3D vision. It aims to simplify experiment management and task switching for CV researchers by offering a consistent codebase across multiple modalities and training paradigms.