People Segmentation
TENSORGO TECHNOLOGIES PRIVATE LIMITED · Operations & Productivity
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 6 captures on record
What the publisher says
As described on Microsoft Marketplace.
Real time detection and segmentation of the people in the image or video.
In computer vision, image segmentation refers to the technique of grouping pixels in an image into semantic areas typically to locate objects and boundaries. People segmentation model is trained to detect the people in a crowd or individual locations. This model segments the people from the background scene and draws boundary boxes around each person as per their physical personalities.
Show the rest of the publisher’s description (3 more lines)
Self-governing video evaluation systems have become increasingly important in recent years. There are numerous applications related to intelligent video surveillance systems such as people counting/detection, facial recognition, vehicle detection. It enables continuous monitoring of human actions which allow tagging of human body parts such as head, arms, torso and legs to achieve activity recognition tasks. The ability to track person movement in crowds through people segmentation models flourish the crowd tracking analyses and infinite possibilities while combined with other neural networks.
Use Cases
Photography Editing, Augmented Reality, Artistic Effect, Crowd Analysis, Surveillance Systems.
Preview
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Agent build and provenance
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Compliance
- 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
Sources
Publisher resources
4 linksLinked repositories
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