Azure AI Vision for digital asset management
Azure AI Vision can power many digital asset management (DAM) scenarios.
DAM is the business process of organizing, storing, and retrieving rich media assets and managing digital rights and permissions.
For example, a company may want to group and identify images based on visible logos, faces, objects, colors, and so on.
Or, you might want to autom.
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Data privacy and security
As with all of the Azure AI services, developers using the Azure AI Vision service should be aware of Microsoft's policies on customer data.
See the Azure AI services page on the Microsoft Trust Center to learn more.
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Does Azure cognitive service for Vision Support Auto-captioning?
With Azure Cognitive Service for Vision, we can provide auto-captioning to edit and support alt. text descriptions.
I’m excited about this new experience because now, not only will I know my colleague shared a picture from an event they attended, but that my CEO Ryan Roslansky is also in the picture.” .
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Getting started
Use Vision Studio to try out Azure AI Vision features quickly in your web browser.
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How do I use Azure AI Vision?
Use Vision Studio to try out Azure AI Vision features quickly in your web browser.
To get started building Azure AI Vision into your app, follow a quickstart.
Azure AI Vision can analyze images that meet the following requirements:
For the Read API the dimensions of the image must be between 50 x 50 and 10000 x 10000 pixels. ,
Image requirements
Azure AI Vision can analyze images that meet the following requirements:
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Overview
Azure's Azure AI Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in.
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What is Vision AI & why should you use it?
Deploying vision AI solutions at the edge yields performance and cost benefits.
Use cases for vision AI span manufacturing, retail, healthcare, and the public sector.
Typical vision AI use cases include:
quality assurance safety and security.
In manufacturing environments, vision AI can inspect parts and processes fast and accurately.
Machine-learned bot project using the video game Dota 2
OpenAI Five is a computer program by OpenAI that plays the five-on-five video game Dota 2.
Its first public appearance occurred in 2017, where it was demonstrated in a live one-on-one game against the professional player, Dendi, who lost to it.
The following year, the system had advanced to the point of performing as a full team of five, and began playing against and showing the capability to defeat professional teams.
