YOLOE (Real-Time Seeing Anything) is a unified PyTorch-based computer vision model for object detection and segmentation tasks. It supports multiple prompt mechanisms including text prompts, visual inputs, and prompt-free detection with zero-shot capability. The model achieves competitive accuracy while maintaining real-time inference speed, representing advances in open-set object detection.