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.
Today Sighthound, Inc. launched a new suite of Automatic License Plate Recognition (ALPR) software, services, and solutions built on its 10-year heritage of innovative computer vision products…
Companies needing to access computer vision through a cloud API have many choices.
One of the things that Sighthound has historically done well is finding faces. So many customer use cases require us to find human faces that we’ve put a lot of research hours into it.
We’d like to help.