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Technical GlossaryComputer Vision

Multi-Label Image Classification

A more realistic classification problem in which an image can belong to multiple classes at the same time.

Multi-label image classification is used when a single image contains multiple objects, attributes, or semantic labels. A scene may contain "person", "car", and "road" at the same time. This is highly important in surveillance analytics, media indexing, e-commerce cataloging, and smart-city applications. Proper thresholding and management of label correlations are key to model performance.

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Multi-Label Classification

A classification approach designed for problems in which a single instance can belong to multiple labels at once.

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Convolution

The fundamental operation of CNNs that captures spatial patterns through local filters.

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Receptive Field

A concept describing which region of the input contributes information to a neuron or feature activation.