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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.
In this post, we’ll define vision AI, what it means for enterprises in different industries.
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.
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 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.
Learn how vision AI can be used to prevent damage and contamination by detecting unwanted material during processing and manufacturing.
If you own, manage or operate a livestock operation, counting your animals and monitoring the movement of your livestock is a critical part of your business. See how Vision AI can help improve the process.
Enterprises Can Now Easily Deploy End-to-End Vision AI to Private Clouds to Realize the Full Value of Their Video and Other Visual Data for Accurate, Actionable, Insights Across Diverse Use Cases
May 9, 2023 | Press
May 8,2023 | Press
May 2,2023 | Blog
