Detect, identify, analyse, organise, and tag faces in photos
The Microsoft Face API uses state-of-the-art cloud-based face algorithms to detect and recognise human faces in images. Capabilities include features like face detection, face verification and face grouping to organise faces into groups based on their visual similarity.
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US government entities are eligible to purchase Azure Government services from a licensing solution provider with no upfront financial commitment or directly through a pay-as-you-go online subscription.
Important—The price in R$ is merely a reference; this is an international transaction and the final price is subject to exchange rates and the inclusion of IOF taxes. An eNF will not be issued.
US government entities are eligible to purchase Azure Government services from a licensing solution provider with no upfront financial commitment or directly through a pay-as-you-go online subscription.
Important—The price in R$ is merely a reference; this is an international transaction and the final price is subject to exchange rates and the inclusion of IOF taxes. An eNF will not be issued.
| Instance | Transactions Per Second (TPS) * | Features | Price |
|---|---|---|---|
| Free - Web/Container | 20 transactions per minute |
Face Detection Face Verification Face Identification Face Grouping Similar Face Search |
30,000 transactions free per month N/A in selected region |
| Standard - Web/Container | 10 TPS |
Face Detection Face Verification Face Identification Face Grouping Similar Face Search |
0-1M transactions - $- per 1,000 transactions 1-5M transactions - $- per 1,000 transactions 1-10M transactions - $- per 1,000 transactions 5-100M transactions - $- per 1,000 transactions 10-100M transactions - $- per 1,000 transactions 100M+ transactions - $- per 1,000 transactions |
| Face Storage | $- per 1,000 faces per month |
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Face API
Learn more about Face API features and capabilities.
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Documentation
Review technical tutorials, videos and more Face API resources.
Frequently asked questions
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For operations that enable training at million-scale (available beginning 1st March 2018), a transaction is counted for every 1,000 images trained. “LargePersonGroup – Train” and “LargeFaceList – Train” belong to this category. Each operation in this category is rounded up to the nearest increment of 1,000 images. For example, a “LargeFaceList – Train” operation that includes 8,49,500 images will be counted as 850 transactions.
For all other operations, each API call will be counted as a transaction.
Please refer to the documentation for the complete list and detailed descriptions of operations.
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Face Storage allows a subscription to store additional persisted faces when using person objects and face lists for identification or for similarity matching with the Face API.
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The stored faces are charged at $- per 1,000 faces and this rate is prorated daily.
For example, if your account used 10,000 persisted faces each day for the first half of the month and none the second half, you would be billed only for the 10,000 faces for the days stored. The calculation then is ($-/1,000) * (10,000*15+0*16)/31 = $-
As a second example, if each day during the month you persist 1,000 faces for a few hours and then delete them each night, you would still be billed for 1,000 persisted faces each day.
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The quota for the number of stored person groups is now 1 million, with up to 1 million persons per person group or face lists.
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