- Bing Video Search – use the Video Search API to locate videos anywhere on
the web. The results will tell you the video length, creator, view count, encoding
format and more. - Bing Visual Search – provides users with an incredibly rich visual experience.
Add your own business product images and similar images and use Visual Search
to identify entities and objects. - Bing Web Search – documents that have been indexed using the Web Search
API can easily be retrieved. Get better query performance and narrow the results
down using several filters. - Cognitive Services – add intelligent algorithms to apps, bots and websites to
understand and interpret users through communication. Supported
communication types include vision, hearing, and speech. - Computer Vision – categorize visual data and process it, extracting actionable
and rich information. Perform moderations to the images, assisted by machine
learning, to curate services. - Content Moderator – Machine-assisted content APIs for detecting unwanted
and offensive images, unwanted and profane text, and moderation of adult
content in videos. Review tool built-in for best results. - Custom Speech – allows you to create custom acoustic and language models,
tailored to your users. Customize your speech recognition endpoint and use
RESTful APIs to send requests to it. - Custom Vision – customize state-of-the-art vision models as per your own use
case. Upload the labeled images and Custom Vision Service will do the work,
leaving you to export fully trained models as Docker containers or to a device
with a single click. - Data Science Virtual Machines – comprehensive environment of
preconfigured virtual machine images for data science, deployment and
development. Fully tested using popular ML, analytics and AI training tools - Emotion – use the Emotion API to build emotion recognition into apps. Using
ML, a facial expression is analyzed, using the Face API, to return one of several
emotions. - Face – the Face API allows you to detect faces in images, identify them, analyze
and organize them. Images can be sorted into groups and previously tagged
people identified; can be run in the cloud or on-site - Machine Learning Service – easily build ML models and train them faster,
deploying to the edge or cloud. Latest open-source technologies supported,
including PyTorch, Jupyter and TensorFlow, with the ability to scale as needed.
Use CI/CD to track experiments, manage models and deploy easily. - Machine Learning Studio – managed cloud service to help you build
solutions for predictive analytics, deploy and share. Browser-based environment,
simple drag-and-drop with no need to code.
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