Albumentations
kCloudHub LLC · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Albumentations is a fast, flexible, open-source Python library for image augmentation that simplifies preprocessing for computer vision tasks.
It helps create diverse and robust training datasets, improving model performance and generalization.
Show the rest of the publisher’s description (13 more lines)
Features of Albumentations:
- Fast, flexible Python library for image augmentation.
- Supports transformations for images, masks, bounding boxes, and keypoints.
- Optimized for performance and integrates with deep learning frameworks like PyTorch and TensorFlow.
- Helps create diverse, robust training datasets for better model generalization.
- Wide range of image transformations for classification, segmentation, and object detection.
- Open-source and compatible with multiple operating systems.
Albumentations Usage Instructions:
$ sudo su
$ cd /opt/albumentations
$ source /opt/albumentations/venv/bin/activate
$ python -c "import albumentations as A; print(A.__version__)"
Disclaimer: Albumentations is an open-source project maintained by the Albumentations Team. This document and the software described herein are not affiliated with, endorsed by, or sponsored by any commercial entity. Users are advised to review and comply with any applicable licensing terms while using Albumentations.
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.