Cascading classifier

A machine learning architecture that chains multiple detection stages in sequence, where each stage filters candidates before passing them to the next, progressively increasing detection precision while maintaining recall. In accessibility applications, cascading classifiers are used for tasks such as crosswalk detection (satellite imagery followed by street-level validation), widget identification on web pages, and real-time object recognition in assistive systems. The approach is computationally efficient because the majority of negative examples are rejected early in the pipeline by simpler, faster stages.