Cascaded classifiers

Cascaded classifiers are a series of decision-making steps used in tasks like object detection in images. Imagine a filter system where the first filter quickly checks for broad characteristics, like size or color. If an item passes this filter, it goes to the next, which examines it more closely for specific features. This process continues through multiple layers, becoming progressively detailed. The advantage is efficiency: simple checks eliminate many non-target items early, allowing more complex analysis only where necessary, improving speed and accuracy in recognizing objects, such as faces in photos or pedestrians in traffic.