Deep features refer to the high-level representations of images or videos that are learned by deep neural networks. These features are extracted from the raw data (like pixels in an image) through multiple layers of processing, allowing the network to learn complex and abstract representations. Deep features are crucial in various computer vision tasks such as object detection, facial recognition, and image classification.

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