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ALPR, aka Automated License Plate Recognition, is the process of capturing license plate information. ALPR software takes a picture of a license plate and collects real-time information, often to identify a vehicle. For organizations like police departments, city governments, and vehicle-related industries, ALPR technology can provide information and insights that help optimize communities and processes.
In this two part blog, we want to explore how to test a Computer Vision system. We will do a deep dive into the process and best practices for properly and accurately run a computer vision test. The first part here will cover Annotation. Data annotation helps provide valuable insight and information with respect to the system requirements.The second part will cover evaluation and explain topics like accuracy, recall and precision.
Artificial Intelligence can thus be thought of as a system to help mimic human intelligence by using algorithms; techniques, rules and/or methods to learn, reason and react to different situations and scenarios like a human would do.
Companies needing to access computer vision through a cloud API have many choices.