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.
Sighthound makes available industry-leading computer vision software, tuning tools and pre-extracted features to students for free and announces cash prizes for the best research papers.
Honolulu, Hawaii – July 22, 2017 – Today at the CVPR 2017 computer vision event in Honolulu, HI Sighthound, Inc. announced the Sighthound Academic Program, a means by which students at universities and academic research institutions can use Sighthound’s industry-leading computer vision software for free.
Best-selling surveillance software for the home now has faster iOS, Android and web browser remote access, has a new Grid View for monitoring cameras in the desktop application, and is 64 bit.
Palo Alto, California - July 6, 2017 - Sighthound, Inc. today announced the release of Sighthound Video 5.0, the latest version of its state-of-the-art security software for homes and businesses.
License plate detection and recognition now available on Sighthound Cloud and for edge deployments with Sighthound Sentry
Palo Alto, California - March 23, 2017 - Sighthound, Inc. today announced the release of a deeply learned license plate detection and recognition API in its Cloud service and as part of its Sighthound Sentry software. The software scans images or videos and uses Sighthound’s proprietary deep computer vision algorithms to detect and read license plates as well as recognize the country/state of origin. In addition, it also provides confidence scores for each of the above to help with custom development.