Adoption evidence
Vertical evidence

Albumentations evidence in Drones and UAVs

Drone, UAV, aerial-robotics, and drone-imagery applications.

This page keeps broad public-source counts distinct from the named records below. They describe public evidence, not companies, customers, production deployments, or commercial licenses.

Drone flying above a mountainous landscape
Illustrative imagePhoto: Magda Ehlers on Pexels
Classified public GitHub repositories98Repository metadata matched to this vertical; classifications are multi-label and non-additive.View evidence Research works citing Albumentations59Public citations assigned to this vertical. Citation evidence is not deployment evidence.View evidence Verified Hugging Face artifacts4Public models, datasets, and Spaces with code-use or runtime-dependency evidence.View evidence

Named public records

Inspect the evidence itself

These records are curated examples from the detailed snapshot. Their count can be lower than the broader source count above because the sources are collected and refreshed independently.

Exact public-code imports

Each named record identifies the context of an exact import. An import can appear in source, an example, a test, documentation, or a notebook.

1

View 1 named public recordsExpand

Import in source

microsoft/MegaDetector-Overhead

MegaDetector-Overhead — The Microsoft open-source AI for overhead wildlife detection. Point-based detection model for aerial and drone imagery, identifying wildlife from above. Maintained by Microsoft AI for Good Lab. Part of the Pytorch-Wildlife ecosystem.

Research citations

A citation establishes research use or discovery. It does not by itself prove a dependency, deployment, endorsement, or commercial license.

59

View 59 named public recordsExpand

Verified Hugging Face artifacts

Each record has public code-use or runtime-dependency evidence. Reference-only cards are not shown here.

4

View 4 named public recordsExpand
Inspect all public GitHub evidence