fengtt42/AerialDojo-200K
AerialDojo-200K AerialDojo-200K is a large-scale benchmark suite for open-world aerial object-goal search. Aerial agents autonomously explore large-scale, unstructured 3D environments and reach target objects specified by semantic descriptions (SemanticOGS) or reference images (ImageOGS), rather than follow route-specific instructions. Paper: arXiv · Project: Website · Code and setup: GitHub Large-Scale. 42 simulation scenes span four scene families and 21 scene types, with 205… See the full description on the dataset page: https://huggingface.co/datasets/fengtt42/AerialDojo-200K.
| Author / organization | fengtt42 |
|---|---|
| License (as declared) | mit |
| Downloads | 3.1K (as reported by Hugging Face) |
| Likes | 8 |
| Created | 30 September 2026 |
| Last updated at source | 12 October 2026 |
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