Caer is a vision library that abstracts away boilerplate code to help researchers quickly prototype deep learning models for computer vision tasks. It provides APIs for image and video processing, classification, and segmentation with GPU/CUDA support. The library is designed to work well with other ML frameworks while simplifying the development workflow for vision research.