Microsoft Azure Face API vs Microsoft Computer Vision API comparison

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Overview

Embed facial recognition into your apps for a seamless and highly secured user experience. No machine learning expertise is required. Features include: face detection that perceives faces and attributes in an image; person identification that matches an individual in your private repository of up to 1 million people; perceived emotion recognition that detects a range of facial expressions like happiness, contempt, neutrality, and fear; and recognition and grouping of similar faces in images.

Microsoft Computer Vision API is a cloud-based API tool that provides developers with access to advanced algorithms for processing images and returning informatio, by uploading an image or specifying an image URL, it analyze visual content in different ways based on inputs and user choices.

Sample Customers
Uber, Pic collage, Pivothead, Cloudinary.
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Top Industries
VISITORS READING REVIEWS
Computer Software Company13%
University9%
Comms Service Provider8%
Financial Services Firm8%
VISITORS READING REVIEWS
Comms Service Provider15%
Computer Software Company13%
Retailer8%
University6%
Company Size
VISITORS READING REVIEWS
Small Business22%
Midsize Enterprise17%
Large Enterprise61%
VISITORS READING REVIEWS
Small Business34%
Midsize Enterprise14%
Large Enterprise52%

Microsoft Azure Face API is ranked 2nd in Image Recognition Software while Microsoft Computer Vision API is ranked 5th in Image Recognition Software. Microsoft Azure Face API is rated 0.0, while Microsoft Computer Vision API is rated 0.0. On the other hand, Microsoft Azure Face API is most compared with Amazon Rekognition and Google Cloud Vision API, whereas Microsoft Computer Vision API is most compared with Google Cloud Vision API.

See our list of best Image Recognition Software vendors.

We monitor all Image Recognition Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.