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To extract a deep feature, we typically use a pre-trained model (like ResNet50) and remove the final classification layer. The output of the final pooling or convolutional layer serves as the "feature vector"—a numerical representation of the image's visual content (textures, shapes, objects). Veronika Sorokina HD Vids jpg