Azure Face API
E828314
Azure Face API is a cloud-based facial recognition and analysis service from Microsoft that detects, identifies, and analyzes human faces in images.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Azure Face API canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9899262 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azure Face API Context triple: [Azure Cognitive Services, includesService, Azure Face API]
-
A.
Faces Places
Faces Places is a 2017 French documentary film co-directed by Agnès Varda and artist JR, in which they travel through rural France creating large-scale photographic portraits while reflecting on memory, community, and aging.
-
B.
Faces
Faces is a critically acclaimed 2014 mixtape by American rapper Mac Miller, known for its introspective lyrics, experimental production, and exploration of themes like addiction and mental health.
-
C.
Faces
Faces is a 1968 independent drama film written and directed by John Cassavetes, noted for its raw, improvisational style and intense exploration of marital breakdown and human relationships.
-
D.
Faces
Faces was a British rock band formed in 1969, known for its bluesy, hard rock sound and energetic live performances.
-
E.
LFW
LFW is the IATA airport code for Lomé–Tokoin International Airport, the main airport serving Lomé, the capital of Togo.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azure Face API Target entity description: Azure Face API is a cloud-based facial recognition and analysis service from Microsoft that detects, identifies, and analyzes human faces in images.
-
A.
Faces Places
Faces Places is a 2017 French documentary film co-directed by Agnès Varda and artist JR, in which they travel through rural France creating large-scale photographic portraits while reflecting on memory, community, and aging.
-
B.
Faces
Faces is a critically acclaimed 2014 mixtape by American rapper Mac Miller, known for its introspective lyrics, experimental production, and exploration of themes like addiction and mental health.
-
C.
Faces
Faces is a 1968 independent drama film written and directed by John Cassavetes, noted for its raw, improvisational style and intense exploration of marital breakdown and human relationships.
-
D.
Faces
Faces was a British rock band formed in 1969, known for its bluesy, hard rock sound and energetic live performances.
-
E.
LFW
LFW is the IATA airport code for Lomé–Tokoin International Airport, the main airport serving Lomé, the capital of Togo.
- F. None of above. chosen
Statements (53)
| Predicate | Object |
|---|---|
| instanceOf |
Azure Cognitive Service
ⓘ
cloud-based facial recognition service ⓘ facial analysis API ⓘ |
| accessibleVia |
REST API
ⓘ
SDK NERFINISHED ⓘ |
| authenticationMethod |
API key
ⓘ
Azure Active Directory NERFINISHED ⓘ |
| detectsAttribute |
age (estimated)
ⓘ
blur ⓘ emotion (legacy feature) ⓘ exposure ⓘ facial hair ⓘ gender (binary classification in legacy versions) ⓘ glasses ⓘ head pose ⓘ noise ⓘ occlusion ⓘ |
| developer | Microsoft ⓘ |
| hasDocumentation |
Azure portal
NERFINISHED
ⓘ
Microsoft Learn NERFINISHED ⓘ |
| hasSDK |
Azure SDK for .NET
NERFINISHED
ⓘ
Azure SDK for Java NERFINISHED ⓘ Azure SDK for JavaScript NERFINISHED ⓘ Azure SDK for Python NERFINISHED ⓘ |
| inputType |
image
ⓘ
video stream ⓘ |
| offersFeature |
face attribute detection
ⓘ
face detection ⓘ face grouping ⓘ face identification ⓘ face recognition ⓘ face similarity search ⓘ face verification ⓘ facial landmark detection ⓘ person directory management ⓘ |
| partOf |
Azure AI services
NERFINISHED
ⓘ
Microsoft Azure NERFINISHED ⓘ |
| pricingModel | consumption-based ⓘ |
| requires | Azure subscription ⓘ |
| subjectTo |
Microsoft Responsible AI principles
NERFINISHED
ⓘ
regional regulations and compliance requirements ⓘ |
| supports |
HTTPS
ⓘ
JSON responses ⓘ |
| supportsDeploymentRegion | multiple Azure regions ⓘ |
| useCase |
access control
ⓘ
attendance tracking ⓘ fraud detection ⓘ identity verification ⓘ people tagging ⓘ photo organization ⓘ retail customer analytics ⓘ security and surveillance analytics ⓘ user authentication ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Azure Face API Description of subject: Azure Face API is a cloud-based facial recognition and analysis service from Microsoft that detects, identifies, and analyzes human faces in images.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.