{
 "id": "dwnqxcd/AeroGrid100",
 "owner": "dwnqxcd",
 "name": "AeroGrid100",
 "downloads": 381,
 "likes": 1,
 "last_modified": "2026-09-22T10:37:26.000Z",
 "stated_licence": "cc-by-nc-4.0",
 "stated_from": "tag",
 "licence_name": null,
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 "file_licence": null,
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 "gated": false,
 "tasks": [
  "image-to-3d",
  "image-to-image",
  "object-detection",
  "keypoint-detection"
 ],
 "citation": "If you use AeroGrid100 in your research, please cite:\n\n```bibtex\n@inproceedings{zeng2025aerogrid100,\n  title     = {AeroGrid100: A Real-World Multi-Pose Aerial Dataset for Implicit Neural Scene Reconstruction},\n  author    = {Zeng, Qingyang and Mohanty, Adyasha},\n  booktitle = {RSS Workshop on Leveraging Implicit Methods in Aerial Autonomy},\n  year      = {2025},\n  url       = {https://im4rob.github.io/attend/papers/7_AeroGrid100_A_Real_World_Mul.pdf}\n}",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions.",
 "revision": "ef7dea88d50dc848f8c82e289e57e12d13abd456",
 "stated_evidence": "https://huggingface.co/datasets/dwnqxcd/AeroGrid100/blob/ef7dea88d50dc848f8c82e289e57e12d13abd456/README.md",
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}