Plainsight Blog
Learn more about us and the power of vision AI, simply done.
Plainsight Deepens Relationship with Google Cloud to Empower Enterprises with Production-ready Computer Vision Solutions
Google Cloud customers can now centralize complete, end-to-end control and management of their vision AI workflows with fully-integrated capabilities in one intuitive interface and unmatched Google Cloud scalability and security for reliable and consistent vision AI solutions.
Classification Models: Organizing Images with Computer Vision
While phones do offer some simple tags to help users sort through their personal archives, computer vision classification models offer an easy and effective way of creating custom, highly-specialized models that can help to categorize visual data with highly personalized labels.
What Is Vision AI and Why Is it Important?
In this post, we’ll define vision AI, what it means for enterprises in different industries.
Autonomous Vehicles Are Driving Computer Vision Into the Future
Once the stuff of science fiction, self-driving vehicles are now merging onto roadways and into the news. Organizations ranging from car manufacturers to rideshare services to restaurants have launched ambitious initiatives and even started testing autonomous vehicles on select public roads.
Vision AI for Fighting and Preventing Wildfires
By enhancing their computer vision technology and applying AI to visual data like satellite imagery and drone feeds, public and private sector organizations can better recognize wildfire risks, predict the likely path of blazes, and coordinate their fire-fighting efforts to protect communities.
Tiling: The Key to Small Object Detection
Tiling is an important process for analysis of images with computer vision and allows for a more detailed look at specific sections of an image without sacrificing resolution. After dividing an image into tiles, computer vision algorithms can then inference on each individual tile before reassembling them into a new composite image.
Data Annotation for Computer Vision
Data annotation is the process of adding labels to a collection of data creating a data set. Data sets are used to train machine learning models.
Plainsight featured on ClickAI Radio with Grant Larsen, Episode 135 Can AI See Better Than Humans?
Our CEO Carlos Anchia, recently sat down with Grant Larsen of ClickAI Radio to discuss how Plainsight’s end-to-end vision AI platform differs from other computer vision platforms on the market.
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Featured Articles
Plainsight and Ericsson Launch 5G Innovation Partnership for Vision AI Solutions at the Edge
May 9, 2023 | Press
CRN’s 2023 Women of the Channel Honors Elizabeth Spears of Plainsight
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Computer Vision-Enabled Restaurants: The Recipe for Super-Sized Innovation
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