Back to the registry
Agent passport

Facial Landmarks

TENSORGO TECHNOLOGIES PRIVATE LIMITED · Intelligence & Research

SaaSNo attestation published

Certification per Microsoft Marketplace.

Computer Vision, AI, ML, Analytics, Cognitive ServicesMedical face alignments, human attention recognition, human emotion classificationDeep learning, facial landmarks detection
Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 6 captures on record

User ratingNot rated0 reviews on the listing
Runs onSaaSSaaS
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on Microsoft Marketplace.

Through radical computer vision techniques, the facial points of a person’s face are tracked to predict and track behaviors over the time. In the example of a facial-landmark applied on a human face, facial landmarks are a face geometry solution that estimates (x,y) location of 68 2D landmarks for each detected face in an image or a video. These key points can be used to determine a person's identification to emotions. The application draws points on detected faces and semantically links them in real time.

The facial landmarks are becoming more and more prominent intermittently to understand human psychology and their behaviors in public or private places, few countries have started identifying their citizens at various checkpoints and tracking their activities.

Show the rest of the publisher’s description (4 more lines)

Use Cases

Human Emotion Classification, Human Attention Recognition, Identification, Medical Face Alignments, Other Medical Conditions.

API Request & Response

TensorGo Platform provides you with a one stop solution to customize the our API offerings as per your use case by mixing and matching the existing APIs or requesting for a new custom model. This accelerates the development of use cases with minimal or no code towards deep learning applications.

Preview

1 image
Facial Landmarks preview 1

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment · as of 2026-08-29

CompanyTensorGo Software Private LimitedAutomated
HQIndiaAutomated
IndustryTechnologyAutomated
Websitehttp://tensorgo.com/

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource
License TermsLicense TermsSource

Publisher resources

4 links
Facial Landmarks - API Support Documentcatalogartifact.azureedge.netSource
Facial Landmarks Demo 1www.youtube.comSource
Facial Landmarks Demo 2www.youtube.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
SaaS
https://www.tensorgo.com/contact-us/
Open the source listing ↗

Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.