Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
DeepLabV3 is a state-of-the-art deep learning model for semantic image segmentation. Developed by Google Research, it labels each pixel in an image to identify objects and regions, making it highly useful in fields such as autonomous driving, medical imaging, and satellite analysis.
Features of DeepLabV3:
Show the rest of the publisher’s description (11 more lines)
- Semantic segmentation: Accurately assigns a class label to every pixel in an image for fine-grained understanding.
- Atrous convolution: Uses dilated convolutions to capture multi-scale context without losing resolution.
- Atrous Spatial Pyramid Pooling (ASPP): Improves segmentation performance by aggregating contextual information at different scales.
- Pretrained models: Available in both PyTorch and TensorFlow for quick setup and experimentation.
- Extensible and modular: Can be integrated into research workflows, computer vision applications, or fine-tuned with custom datasets.
To check version:
$ sudo su
$ source /opt/deeplabv3/bin/activate
$ python -c "import torch; print(torch.__version__)"
$ python -c "import torchvision; print(torchvision.__version__)"
Disclaimer: DeepLabV3 is a research model developed by Google and available in open-source frameworks like PyTorch and TensorFlow. It is not affiliated with, endorsed by, or sponsored by Ubuntu or Canonical.
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.