
Mouse Detection
Locate, label and count mice in an image.
Locate, label and count traffic lights in an image.
Use This Free TemplateTry PreviewInstantly identify and classify traffic signals in any urban scene, enabling precise mapping of traffic light positions and states for safer autonomous navigation.
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Urban infrastructure managers and transportation planners face the constant challenge of documenting and monitoring traffic signal networks across expanding cities. This template streamlines that process by automatically detecting, categorizing, and tallying traffic lights in captured imagery. Whether you're building detailed infrastructure maps, conducting safety audits, or developing autonomous vehicle systems, accurate traffic light detection forms the foundation of modern traffic management. The template excels at identifying signals even in challenging conditions - partially obscured views, varying lighting conditions, and complex intersections.
Every missed traffic signal creates a potential safety risk and navigation error. By processing images with up to 98% accuracy in traffic light detection, this template dramatically reduces the manual effort needed for infrastructure surveys while increasing reliability. Transportation teams can analyze hundreds of intersection images in minutes rather than hours, complete with precise signal locations and classifications. The template's ability to distinguish between red, yellow, and green states adds another layer of valuable data for traffic flow analysis and autonomous vehicle training. When integrated into larger systems, it becomes a crucial component for real-time navigation and traffic monitoring applications.