GLEE is a general object foundation model designed to handle multiple computer vision tasks at scale including object detection, segmentation, referring expression comprehension, multi-object tracking, and video instance segmentation. It supports open-vocabulary capabilities for zero-shot detection and segmentation, enabling generalization to unseen object categories without additional training.