stephansturges/WALDO

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1695 stars · 199 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

WALDO is an open-source object detection model based on a YOLOv8 backbone, trained with a synthetic data pipeline to detect people, vehicles, buildings, boats, and other objects in aerial and satellite imagery. It is distributed as model weights (MIT licensed) with supporting Python tooling for drone and overhead imagery analysis.

Use cases

• detect people and vehicles in drone footage
• run object detection on satellite imagery
• find obstacles like utility poles for drone flight safety
• count cars and trucks in aerial photos
• search and rescue person detection from the air
• identify solar panels and buildings in overhead imagery

When to choose

• you need FOSS object detection for aerial or satellite imagery
• you want MIT-licensed model weights usable commercially
• you need detection across altitudes from 30 feet to satellite views

When to avoid

• you need military-target detection capabilities
• you need a fully supported product with a license file and formal releases
• your imagery is ground-level rather than overhead

Facets

library · maturity active

machine-learning computer-vision image-processing computer-vision machine-learning python cross-platform object-detection yolo drone-imagery aerial-imagery synthetic-data foss drones

Member repositories

For agents

markdown · JSON · MCP: product_card(name="stephansturges/WALDO")