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: Modern systems use these features to understand relationships between items, such as finding "visually similar" products even if the lighting or background differs.

: Unlike simple traits like color or edges, these are learned automatically by the model to perform specific tasks like classification or visual search. IMG_9454 IMG_9455.rar

: If these images (likely JPEG or similar) are processed by a Convolutional Neural Network (CNN), "deep features" would be the complex shapes, objects, or semantic concepts (like a "car" or "flower") identified in the hidden layers. : Modern systems use these features to understand