[rfonod]

Adds Songdo Vision to the UAV & Drone datasets section.

5,419 annotated 4K bird's-eye view drone frames (140-150 m altitude) with 274,190 vehicle bounding boxes across 4 classes (car/van, bus, truck, motorcycle), captured over Songdo, South Korea. Annotations in COCO, YOLO and Pascal VOC formats.

• Data: https://doi.org/10.5281/zenodo.13828407 (Zenodo, CC BY 4.0, free direct download)
• Paper: https://doi.org/10.1016/j.trc.2025.105205 (Transportation Research Part C, 2025)

If it is easier than merging, here is the line ready to paste:

* [Songdo Vision](https://doi.org/10.5281/zenodo.13828407) -> 5,419 high-altitude BEV drone frames (4K, 140-150 m altitude) with 274,190 vehicle bounding boxes across 4 classes (car/van, bus, truck, motorcycle) from a smart-city traffic study in Songdo, South Korea. COCO, YOLO and Pascal VOC formats, CC BY 4.0

Disclosure: I am the dataset author.

[rfonod]

Rebased the entry onto the new AGENTS.md format: Zenodo link instead of the DOI, companion repo linked separately, paper title as plain text.

The earlier check did not fail on content, it expired waiting for workflow approval on a first-time fork PR.

[robmarkcole]

thanks!