StreetSignSenseYOLO12n Model Summary Street Sign Sense (YOLO12n) is an object detection model designed to identify and classify traffic signs in real time. Based on the YOLO12 Nano architecture, this is the most lightweight and fastest version, optimized for edge devices and mobile applications where speed is critical, making it suitable for Advanced Driver Assistance Systems (ADAS) research. It has been trained on the custom Street Sign Set , covering 63 distinct classes of traffic signs. Usage Live Demo You can test this model instantly in your browser without any setup: 👉 Interactive Web Demo Python This model can be used with the Ultralytics framework or the official YOLOv12 repository. It takes an image as input and outputs bounding boxes with class labels and confidence scores. Code Snippet (Python) Inputs: Images (RGB) of various resolutions (model trained at standard YOLO resolutions, e.g., 640x640). Outputs: List of Results objects containing bounding boxes ( xyxy ), class IDs, and confidence scores. System Standalone Model: Yes, this is a standalone object detection model. Input Requirements: Standard RGB images. No specific metadata required. Downstream Dependencies: Th…
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