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In the context of computer vision and image processing, a is an abstract representation of data learned by a neural network, specifically within the intermediate or "hidden" layers of a deep learning model. Key Characteristics

Isolated Convolutional-Neural-Network-Based Deep-Feature ... - MDPI 78E0C7C5-B8A7-4FE7-A739-9592B5DB499F.jpeg

: Unlike traditional "handcrafted" features (such as color histograms or shape descriptors) that are designed by humans, deep features are learned automatically by the model during training. In the context of computer vision and image

: Deep learning models build these features in stages: 78E0C7C5-B8A7-4FE7-A739-9592B5DB499F.jpeg