Shutterstock.AI Launches Data On AWS Data Exchange To Advance Computer Vision Solutions
The availability of Shutterstock.AI's data on AWS Data Exchange will allow customers, from tech startups to industrial giants, to train computer vision models at scale with precision, advancing their computer vision technology.
"Customers need broad content sets and quality metadata to train computer vision models with confidence and efficiency," said
Shutterstock.AI will initially offer a series of training datasets to AWS customers on AWS Data Exchange. The datasets include collections of images and 3D models from Shutterstock.AI's library of 400 million visual assets, along with metadata backed by rigorous human and AI review. The datasets span multiple industry categories, and have been curated to align with some of the most common computer vision applications in ecommerce, travel and tourism, self-driving cars, and consumer electronics.
"Computer vision is a powerful new technology with huge growth potential," said
In addition to offering products on AWS Data Exchange, Shutterstock.AI content will be used to power Amazon's own computer vision projects, including Amazon Rekognition, a solution that simplifies adding image and video analysis to applications using proven, highly scalable, deep learning technology that requires no prior machine learning expertise.
Shutterstock.AI will work with AWS to provide this data to new customers, as well as enabling existing Shutterstock.AI clients to use AWS Data Exchange for streamlining their existing data delivery, ingestion, and billing.
Over time, Shutterstock.AI and AWS will continually expand the selection of datasets offered on AWS Data Exchange in response to customer feedback and demand. Shutterstock.AI will also work to deliver additional value to the computer vision community, producing thought leadership for practitioners, conducting research, and developing products for expanded computer vision applications.
For more information about Shutterstock.AI datasets on AWS Data Exchange, explore the Shutterstock.AI catalog and register for a webinar on
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SOURCE
Aimée Leabon, press@shutterstock.com, 917-563-4991