December 04, 2023
LVMs enable enterprises to more quickly solve computer vision problems; LandingAI to help enterprises build and run LVMs at the edge, on-prem, and in the cloud
Palo Alto, CA., December 4, 2023 — LandingAI, the leading computer vision cloud platform, announced the launch of its capability to help enterprises build domain-specific large vision models (LVMs). The groundbreaking advancement enables businesses with vast image libraries to bring artificial intelligence to their proprietary image data, allowing versatile applications within their domain to meet business needs.
Like large language models (LLMs) enabled the text-prompting revolution, large vision models will enable the vision revolution. Enterprises will unlock intelligence from their images at a much faster pace than before while protecting their privacy with domain specific LVMs. Many companies have hundreds of thousands, millions or billions of images, most of which differ from internet images that other models have been trained on.
With LandingAI’s innovative LVM solution, companies can take unlabeled image data and create high-performing LVMs that serve as a foundation to solve a diverse set of computer vision tasks in their specific domains. This will occur much faster than with traditional approaches because companies will save months of work by not having to label vast image libraries. And, they’ll see improved accuracy and performance in terms of completed computer vision tasks given the intelligence of the LVM.
LandingAI’s domain-specific LVMs are trained using the enterprise’s private images. Then, the companies can accelerate the implementation of custom vision solutions with LandingAI’s end-to-end Computer Vision platform.
“Enterprises’ Large Vision Model revolution is following the Large Language Model revolution, but with one key difference: Whereas internet text that LLMs learned from are similar enough to most corporate text for the model to apply, a lot of companies in manufacturing, life sciences, geo-spatial data, agriculture, retail, and other sectors have proprietary images that look nothing like the typical Instagram pictures found online,” said Andrew Ng, LandingAI CEO. “That’s why developing domain-specific LVMs is key to unlocking the value of the images in these domains.”
LandingAI is building and running domain specific LVMs for large enterprises who’ve long sought to create value from proprietary images. For example, this will include such things as production line images for finding defects in manufacturing or histopathology images for finding cancer cells in life sciences.
While generic LVMs built on internet images are one size fits all, the LandingAI LVMs focus on one domain at a time, helping solve proprietary problems facing enterprises. Today enterprises spend a non-trivial amount of effort training individual models for each vision task, even when these tasks belong to the same business domain. With domain-specific LVMs, the goal is for companies to use a limited set of LVMs, one for each business domain, and meet their needs to solve a multitude of vision tasks in each domain.
With LVMs, companies will more quickly pinpoint solutions for tasks such as object detection, image segmentation, visual prompting, or other AI vision enabled applications.
The addition of LVM capability to LandingAI underscores LandingAI’s continued investment in Generative AI. In April, it announced its revolutionary Visual Prompting capability as part of its LandingLens offering. This technology takes the framework of text prompting in technologies such as ChatGPT and brings it to computer vision.
To learn more about how you can deploy LVMs using LandingAI’s computer vision solutions, please visit www.landing.ai/lvm
About LandingAI
LandingAI™ provides software that makes computer vision easy. Even with limited data sets, companies can realize the value of AI and move AI projects from proof-of-concept to production. Guided by a data-centric AI approach, LandingAI’s flagship product is LandingLens™, a computer vision cloud platform that enables users to build, iterate and deploy computer vision solutions quickly and easily. Founded by Andrew Ng, co-founder of Coursera, founding lead of Google Brain, and former chief scientist of Baidu, LandingAI is uniquely positioned to lead the development of AI from a technology that benefits a few to a technology that benefits all. Get started for free: www.landing.ai.
