Imagine asking a friend to find any object in a picture simply by describing it. This is the promise of open-set object detection: the ability to spot and localize arbitrary objects (even ones never seen in training) by name or description. Unlike a closed-set detector trained on a fixed list of classes (say, "cat", "dog", "car"), an open-set detector can handle new categories on the fly, simply from language cues.