Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
dlib is an open-source C++ toolkit that provides machine learning algorithms and tools for computer vision, image processing, and data analysis. It offers Python bindings for easy integration, making it popular for tasks like face detection, facial landmark recognition, and object tracking. dlib is optimized for performance and widely used in both academic research and industry applications.
Features of dlib:
Show the rest of the publisher’s description (12 more lines)
- Includes state-of-the-art implementations for face detection and facial landmark recognition.
- Provides a wide range of machine learning algorithms and image processing utilities.
- Offers both C++ and Python APIs for flexible development.
- Optimized for high performance with support for multi-core CPUs and optional CUDA acceleration.
- Actively maintained and used in research, AI, and real-world production systems.
- Open-source and widely adopted in computer vision communities.
To check the installed version of dlib on Ubuntu 24.04, run these commands in your environment:
$ sudo su
$cd /opt/dlib
$source /opt/dlib/dlib-env/bin/activate
$python -c "import dlib; print(dlib.__version__)"
Disclaimer: dlib is released under the Boost Software License and maintained by the open-source community. Users are responsible for correct usage in their specific applications. The developers are not responsible for any consequences arising from its use. Always refer to the official dlib documentation for the most accurate and up-to-date information.
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
- 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
1 linkLinked repositories
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.
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.