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Zero-Shot Object Detection

hf_tasks.zero_shot_object_detection

Zero-shot object detection is a computer vision task to detect objects and their classes in images, without any prior training or knowledge of the classes. Zero-shot object detection models receive an image as input, as well as a list of candidate classes, and output the bounding boxes and labels where the objects have been detected.

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Related skills embedding-nearest

Zero-Shot Image Classification 0 Zero-Shot Classification 0 Object Detection 0 Object Detection 0 Image Feature Extraction 0 Keypoint Detection 0