yihong1120/YOLOv8-License-Plate-Insights
This repository demonstrates YOLOv8-based license plate recognition with GCP Vision AI integration, enabling versatile real-world applications like vehicle identification, traffic monitoring, and geospatial analysis while capturing vital media metadata for enhanced insights.
This tool helps traffic analysts, law enforcement, or urban planners automatically identify license plates from images or videos. You provide car images or video footage, and it returns the license plate number along with critical metadata like the date, time, and precise location where the media was captured. It's designed for anyone needing to monitor vehicle activity or track specific vehicles.
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Use this if you need to automatically extract license plate numbers and associated time and location data from a collection of car images or video frames for traffic analysis or vehicle tracking.
Not ideal if you need to identify vehicles by make/model or require real-time, high-volume processing without access to Python development expertise.
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MIT
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Last pushed
Feb 01, 2024
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