Aerial Perception Models and Datasets
Source-backed aerial dataset and model repositories for detection and tracking research and prototyping.
Last reviewed 8/7/2026. Data checked within the review cycle.
Review cycles are documented on the Methodology page.
3 indexed resources · Reviewed 8/7/2026
Problem statement
Where do I find a real aerial dataset and a model framework to start perception prototyping on drone imagery?
Audience and prerequisites
Computer vision engineers and robotics researchers
Layered technology path
Aerial dataset
Annotated aerial imagery used to train and evaluate detectors and trackers.
Required
Selection: Public benchmark dataset with an official repository
Model framework
Training and inference framework for detection models.
Required
Selection: Actively maintained open framework with model training support
Synthetic data source
Simulator that can generate synthetic aerial imagery for additional experiments.
Optional
Selection: Editorial review of the official simulator repository
Validation sequence
- Inspect the dataset license and annotation format before use.
- Run the framework's training pipeline on a small subset.
- Report results only with the dataset version and evaluation protocol used.
Known boundaries
- Dataset and model licenses differ; check each repository license before redistribution.
- No performance claim is made for any model or dataset combination.