Reviewing Aerial AI and Dataset Sources

Problem definition

Aerial datasets and models are published with varying metadata quality; how do I verify the ones I plan to use?

Steps

1. Inspect the dataset record

   Open the dataset repository and confirm the annotation format and license before training.

2. Inspect the model record

   Check the model framework repository license and its documented training flow.

3. Keep provenance

   Record the dataset version and model export settings so results are reproducible.

Guide

Judgment criteria

• A dataset is usable when its license and annotation format are explicit.
• A model record is usable when the training and export flow is documented.

Common risks

• Training on a dataset whose license does not permit the intended use.
• Reporting results without recording dataset version and evaluation protocol.

Checklist