AirZoo: A Unified Large-Scale Dataset for Grounding Aerial Geometric 3D Vision
Paper • 2604.26567 • Published • 2
Datasets:
Dataset Viewer
The dataset viewer is not available for this split.
The info cannot be fetched for the config 'default' of the dataset.
Error code: InfoError
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/httpx/_transports/default.py", line 101, in map_httpcore_exceptions
yield
File "/usr/local/lib/python3.14/site-packages/httpx/_transports/default.py", line 127, in __iter__
for part in self._httpcore_stream:
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/connection_pool.py", line 407, in __iter__
raise exc from None
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/connection_pool.py", line 403, in __iter__
for part in self._stream:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/http11.py", line 342, in __iter__
raise exc
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/http11.py", line 334, in __iter__
for chunk in self._connection._receive_response_body(**kwargs):
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/http11.py", line 203, in _receive_response_body
event = self._receive_event(timeout=timeout)
File "/usr/local/lib/python3.14/site-packages/httpcore/_sync/http11.py", line 213, in _receive_event
with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}):
~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/contextlib.py", line 162, in __exit__
self.gen.throw(value)
~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
raise to_exc(exc) from exc
httpcore.RemoteProtocolError: peer closed connection without sending complete message body (received 0 bytes, expected 98)
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 134, in _split_generators
analyze(archives, downloaded_dirs, split_name)
~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 108, in analyze
for downloaded_dir_file in dl_manager.iter_files(downloaded_dir):
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1430, in _iter_from_urlpaths
if xisfile(urlpath, download_config=download_config):
~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 745, in xisfile
fs, *_ = url_to_fs(path, **storage_options)
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/core.py", line 408, in url_to_fs
fs = filesystem(protocol, **inkwargs)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 303, in filesystem
return cls(**storage_options)
File "/usr/local/lib/python3.14/site-packages/fsspec/spec.py", line 81, in __call__
obj = super().__call__(*args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/fsspec/implementations/zip.py", line 62, in __init__
self.zip = zipfile.ZipFile(
~~~~~~~~~~~~~~~^
self.fo,
^^^^^^^^
...<3 lines>...
compresslevel=compresslevel,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/zipfile/__init__.py", line 1472, in __init__
self._RealGetContents()
~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/zipfile/__init__.py", line 1535, in _RealGetContents
endrec = _EndRecData(fp)
File "/usr/local/lib/python3.14/zipfile/__init__.py", line 375, in _EndRecData
return _EndRecData64(fpin, filesize - sizeEndCentDir, endrec)
File "/usr/local/lib/python3.14/zipfile/__init__.py", line 311, in _EndRecData64
data = fpin.read(sizeEndCentDir64)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 1238, in read
return super().read(length)
~~~~~~~~~~~~^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/spec.py", line 1897, in read
out = self.cache._fetch(self.loc, self.loc + length)
File "/usr/local/lib/python3.14/site-packages/fsspec/caching.py", line 234, in _fetch
self.cache = self.fetcher(start, end) # new block replaces old
~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 1194, in _fetch_range
r = http_backoff("GET", url, headers=headers, timeout=constants.HF_HUB_DOWNLOAD_TIMEOUT)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_http.py", line 559, in http_backoff
return next(
_http_backoff_base(
...<9 lines>...
)
)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_http.py", line 467, in _http_backoff_base
response = client.request(method=method, url=url, **kwargs)
File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 825, in request
return self.send(request, auth=auth, follow_redirects=follow_redirects)
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 928, in send
raise exc
File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 922, in send
response.read()
~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/httpx/_models.py", line 881, in read
self._content = b"".join(self.iter_bytes())
~~~~~~~~^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpx/_models.py", line 897, in iter_bytes
for raw_bytes in self.iter_raw():
~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/httpx/_models.py", line 951, in iter_raw
for raw_stream_bytes in self.stream:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpx/_client.py", line 153, in __iter__
for chunk in self._stream:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpx/_transports/default.py", line 126, in __iter__
with map_httpcore_exceptions():
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/contextlib.py", line 162, in __exit__
self.gen.throw(value)
~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/httpx/_transports/default.py", line 118, in map_httpcore_exceptions
raise mapped_exc(message) from exc
httpx.RemoteProtocolError: peer closed connection without sending complete message body (received 0 bytes, expected 98)
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 227, in compute_first_rows_from_streaming_response
info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dataset Card for AirZoo Dataset
Total Size: 4.49 TB.
Sequence Card
- Multi-Weather Trajectories: Each sequence contains 3–4 weather trajectories (e.g., sunny, cloudy, rainy, night) following the same flight path at the same altitude and pitch configuration.
- Data Modalities: Sequential frames are provided as
*_0.pngfor RGB and*_1.npzfor metric depth (float32, lossless conversion from PF depth). - Pose & Metadata: Per-trajectory pose files (
*.txt) and optional overlap validation files (*_validated.txt) are included in each sequence archive. - Archive Layout: One
.zipper sequence under<Country>/<Sequence>.zip(e.g.,Argentina/Argentina_seq1.zip). - Data Access:
- Images & Depth: Download sequence
.ziparchives from this Hugging Face dataset underAirZoo_TrainingData/<Country>/<Sequence>.zip. - Index: See
airzoo_sequence_index.jsonin this repository for the full variant list and frame counts.
- Images & Depth: Download sequence
- 🙋❗Note: Please download the reprojection code from this repo and run the demo first to verify the projection alignment and coordinate system.
| Sequence Name | Location (Region) | Lat / Lng | Height | Pitch Range | Weather Variants | # Trajs |
|---|---|---|---|---|---|---|
| Argentina_seq1 | Argentina | -34.6114 / -58.4206 | 300m | [0,30], [0] | cloudy, night, rainy, sunset | 4 |
| Argentina_seq3 | Argentina | -34.8274 / -58.5578 | 200m | [0,30], [0] | cloudy, night, sunny, sunset | 4 |
| Argentina_seq5 | Argentina | -34.9033 / -57.9652 | 200m | [0,30], [0] | cloudy, foggy, night, sunny | 4 |
| Argentina_seq6 | Argentina | -32.9390 / -60.6799 | 300m | [0], [30,60] | foggy, night, sunny, sunset | 4 |
| Athens_seq1 | Athens, Greece | 37.9759 / 23.7111 | 600m | [0,30], [0] | cloudy, foggy, night, rainy | 4 |
| Athens_seq2 | Athens, Greece | 38.0251 / 23.7748 | 500m | [0], [30,60] | foggy, night, rainy | 4 |
| Athens_seq3 | Athens, Greece | 40.6607 / 22.9541 | 700m | [0,30], [0] | foggy, rainy, sunny, sunset | 4 |
| Athens_seq4 | Athens, Greece | 35.5201 / 24.0168 | 400m | [0], [30,60] | night, rainy, sunny, sunset | 4 |
| Athens_seq5 | Athens, Greece | 35.3447 / 25.1367 | 100m | [0,30], [0] | foggy, night, rainy, sunset | 4 |
| Australia_seq11 | Australia | -32.8336 / 151.3103 | 800m | [0], [60,80] | foggy, night, rainy, sunset | 4 |
| Australia_seq2 | Australia | -37.7973 / 144.9450 | 500m | [0], [30,60] | night, rainy, sunny, sunset | 4 |
| Australia_seq3 | Australia | -32.4337 / 115.7706 | 200m | [0,30], [0] | cloudy, night, sunny, sunset | 4 |
| Australia_seq4 | Australia | -27.9779 / 153.4251 | 500m | [0], [30,60] | cloudy, foggy, night, sunset | 4 |
| Australia_seq6 | Australia | -33.9226 / 151.1706 | 300m | [0], [30,60] | night, rainy, sunny, sunset | 4 |
| Australia_seq7 | Australia | -33.9165 / 151.2098 | 500m | [0,30], [0] | foggy, night, sunny, sunset | 4 |
| Australia_seq9 | Australia | -35.2780 / 149.1294 | 500m | [0,30], [0] | cloudy, night, sunny, sunset | 4 |
| Austria_seq1 | Austria | 48.2217 / 16.3674 | 800m | [0], [60,80] | cloudy, foggy, night, sunny | 4 |
| Brazil_seq1 | Brazil | -15.7880 / -47.9012 | 300m | [0,30], [0] | night, rainy, sunny, sunset | 4 |
| Brazil_seq10 | Brazil | -3.1137 / -59.9768 | 600m | [0], [30,60] | cloudy, night, rainy, sunset | 4 |
| Brazil_seq11 | Brazil | -1.4025 / -48.4707 | 800m | [0], [60,80] | foggy, night, rainy, sunset | 4 |
| Brazil_seq3 | Brazil | -22.9145 / -43.2395 | 100m | [0], [30,60] | cloudy, foggy, night, rainy | 4 |
| Brazil_seq7 | Brazil | -22.9832 / -43.3935 | 700m | [0,30], [0] | foggy, night, rainy, sunny | 4 |
| Brazil_seq8 | Brazil | -23.5683 / -46.7424 | 400m | [0], [30,60] | cloudy, foggy, night, sunny | 4 |
| Bulgaria_seq1 | Bulgaria | 42.7147 / 23.3266 | 300m | [0], [60,80] | cloudy, foggy, night, sunset | 4 |
| Canada_seq1 | Canada | 43.6343 / -79.4266 | 300m | [0,30], [0] | night, rainy, sunny, sunset | 4 |
| Canada_seq2 | Canada | 45.4835 / -73.5382 | 500m | [0], [30,60] | cloudy, night, sunny, sunset | 4 |
| Canada_seq3 | Canada | 49.1976 / -123.2083 | 200m | [0,30], [0] | night, rainy, sunny, sunset | 4 |
| Canada_seq4 | Canada | 53.5285 / -113.5261 | 600m | [0], [30,60] | cloudy, foggy, sunny, sunset | 4 |
| Canada_seq5_1 | Canada | 45.4364 / -75.7253 | 700m | [0] | cloudy, night | 2 |
| Canada_seq6 | Canada | 49.8837 / -97.1609 | 800m | [0], [30,60] | night, rainy, sunny, sunset | 4 |
| Czech_seq1 | Czech Republic | 50.0812 / 14.4045 | 700m | [0], [60,80] | cloudy, rainy, sunny, sunset | 4 |
| Denmark_seq1 | Denmark | 55.7157 / 12.5855 | 400m | [0,30], [0] | foggy, night, rainy, sunny | 4 |
| Denmark_seq3 | Denmark | 55.6350 / 12.6542 | 800m | [0,30], [0] | foggy, night, sunny, sunset | 4 |
| England_seq1 | England, UK | 51.5038 / -0.1944 | 300m | [0,30], [0] | night, rainy, sunny, sunset | 4 |
| England_seq11 | England, UK | 54.7103 / -1.2114 | 300m | [0], [60,80] | foggy, rainy, sunny, sunset | 4 |
| England_seq2 | England, UK | 51.4713 / -0.4983 | 500m | [0], [30,60] | night, rainy, sunny, sunset | 4 |
| England_seq3 | England, UK | 51.8705 / -2.2599 | 200m | [0,30], [0] | cloudy, night, sunny, sunset | 4 |
| England_seq4 | England, UK | 55.9467 / -3.2414 | 500m | [0], [30,60] | cloudy, night, sunny, sunset | 4 |
| England_seq5 | England, UK | 53.4302 / -2.9966 | 200m | [0,30], [0] | cloudy, night, sunny, sunset | 4 |
| HongKong_seq1 | Hong Kong, China | 22.2981 / 114.1554 | 300m | [0,30], [0] | foggy, night, sunny, sunset | 4 |
| HongKong_seq2 | Hong Kong, China | 22.2812 / 114.1785 | 500m | [0], [30,60] | cloudy, night, sunny | 3 |
| HongKong_seq3 | Hong Kong, China | 22.2948 / 114.1775 | 200m | [0,30], [0] | foggy, night, sunny, sunset | 4 |
| HongKong_seq4 | Hong Kong, China | 22.4104 / 114.2163 | 500m | [0], [30,60] | foggy, night, sunny, sunset | 4 |
| Hungary_seq1 | Hungary | 47.5114 / 19.0321 | 400m | [0], [60,80] | foggy, night, rainy, sunny | 4 |
| Iceland_seq1 | Iceland | 64.1590 / -22.0172 | 100m | [0,30], [0] | cloudy, foggy, night, sunset | 4 |
| Iceland_seq2 | Iceland | 64.1050 / -21.7769 | 700m | [0], [30,60] | cloudy, foggy, night, sunny | 4 |
| Iceland_seq3 | Iceland | 63.8923 / -22.4926 | 700m | [0], [60,80] | night, rainy, sunny, sunset | 4 |
| Iceland_seq4 | Iceland | 64.2274 / -21.0598 | 400m | [0], [60,80] | cloudy, foggy, night, sunset | 4 |
| Japan_seq10 | Japan | 33.5554 / 130.3501 | 100m | [0], [30,60] | cloudy, foggy, rainy, sunset | 4 |
| Japan_seq2 | Japan | 35.3785 / 138.8549 | 500m | [0], [30,60] | night, rainy, sunny, sunset | 4 |
| Japan_seq3 | Japan | 35.6582 / 139.7416 | 200m | [0,30], [0] | foggy, rainy, sunny, sunset | 4 |
| Japan_seq5 | Japan | 35.5614 / 139.7586 | 200m | [0,30], [0] | foggy, night, rainy, sunset | 4 |
| Japan_seq6 | Japan | 35.4367 / 139.6286 | 300m | [0], [30,60] | foggy, night, sunny, sunset | 4 |
| Japan_seq8 | Japan | 34.3714 / 132.4448 | 300m | [0], [30,60] | foggy, night, sunny, sunset | 4 |
| Japan_seq9 | Japan | 34.8261 / 134.6686 | 500m | [0,30], [0] | night, rainy, sunny, sunset | 4 |
| Macao_seq1 | Macao, China | 22.1724 / 113.5594 | 200m | [0,30], [0] | cloudy, night, sunny, sunset | 4 |
| Mexico_seq1 | Mexico | 19.4438 / -99.1390 | 600m | [0,30], [0] | cloudy, rainy, sunny, sunset | 4 |
| Mexico_seq2 | Mexico | 19.4457 / -99.0568 | 700m | [0], [30,60] | foggy, rainy, sunny, sunset | 4 |
| Mexico_seq3 | Mexico | 19.3267 / -99.1999 | 800m | [0,30], [0] | cloudy, foggy, night, sunset | 4 |
| Mexico_seq4 | Mexico | 20.6936 / -103.3479 | 400m | [0], [30,60] | cloudy, night, rainy, sunset | 4 |
| Mexico_seq5 | Mexico | 25.6679 / -100.3052 | 100m | [0,30], [0] | cloudy, night, rainy, sunset | 4 |
| Newzealand_seq1 | New Zealand | -36.9734 / 174.7721 | 300m | [0,30], [0] | night, rainy, sunny, sunset | 4 |
| Newzealand_seq4 | New Zealand | -43.5466 / 172.5134 | 500m | [0], [30,60] | cloudy, night, sunny, sunset | 4 |
| Newzealand_seq6 | New Zealand | -37.0179 / 174.7691 | 300m | [0], [30,60] | cloudy, night, rainy, sunset | 4 |
| Newzealand_seq7 | New Zealand | -45.1187 / 170.9593 | 500m | [0,30], [0] | cloudy, foggy, sunny, sunset | 4 |
| Newzealand_seq8 | New Zealand | -41.2991 / 174.7618 | 300m | [0], [30,60] | foggy, night, sunny, sunset | 4 |
| Newzealand_seq9 | New Zealand | -45.8655 / 170.4534 | 500m | [0,30], [0] | cloudy, night, sunny, sunset | 4 |
| Norway_seq11 | Norway | 58.0687 / 7.7876 | 500m | [0], [60,80] | cloudy, night, rainy, sunny | 4 |
| Poland_seq1 | Poland | 52.2355 / 21.0389 | 200m | [0], [60,80] | foggy, night, rainy, sunny | 4 |
| Singapore_seq1 | Singapore | 1.2978 / 103.7764 | 400m | [0,30], [0] | cloudy, foggy, night, sunny | 4 |
| Singapore_seq11 | Singapore | 1.3731 / 103.8337 | 700m | [0], [60,80] | cloudy, foggy, night, sunset | 4 |
| Singapore_seq2 | Singapore | 1.2954 / 103.8473 | 600m | [0], [30,60] | cloudy, foggy, rainy, sunset | 4 |
| SouthAfrica_seq10 | South Africa | -33.9005 / 18.3990 | 800m | [0], [30,60] | cloudy, night, rainy, sunny | 4 |
| SouthAfrica_seq11 | South Africa | -33.7929 / 18.4613 | 600m | [0], [60,80] | foggy, night, sunny, sunset | 4 |
| SouthAfrica_seq2 | South Africa | -26.1728 / 28.0414 | 500m | [0], [30,60] | foggy, night, sunny, sunset | 4 |
| SouthAfrica_seq4 | South Africa | -25.7332 / 28.1695 | 500m | [0], [30,60] | cloudy, night, sunny, sunset | 4 |
| SouthAfrica_seq6 | South Africa | -26.1210 / 28.0369 | 400m | [0], [30,60] | foggy, rainy, sunny, sunset | 4 |
| SouthAfrica_seq7 | South Africa | -33.9592 / 18.5805 | 100m | [0,30], [0] | cloudy, foggy, sunny, sunset | 4 |
| SouthAfrica_seq8 | South Africa | -26.2469 / 27.8933 | 700m | [0], [30,60] | cloudy, foggy, sunny, sunset | 4 |
| Switzerland_seq1 | Switzerland | 46.6764 / 7.8291 | 600m | [0,30], [0] | cloudy, night, rainy, sunny | 4 |
| Switzerland_seq11 | Switzerland | 47.3128 / 7.9340 | 100m | [0], [60,80] | cloudy, foggy, rainy, sunny | 4 |
| Switzerland_seq2 | Switzerland | 46.7376 / 8.1654 | 800m | [0], [30,60] | cloudy, rainy, sunny, sunset | 4 |
| Switzerland_seq3 | Switzerland | 46.1024 / 7.9481 | 400m | [0,30], [0] | foggy, night, rainy, sunset | 4 |
| Taiwan_seq1 | Taiwan, China | 25.0212 / 121.5356 | 300m | [0,30], [0] | foggy, night, sunny, sunset | 4 |
| Taiwan_seq11 | Taiwan, China | 24.9405 / 121.2087 | 200m | [0], [60,80] | cloudy, night, rainy, sunny | 4 |
| Taiwan_seq2 | Taiwan, China | 25.0319 / 121.4580 | 500m | [0], [30,60] | cloudy, night, sunny, sunset | 4 |
| Taiwan_seq4 | Taiwan, China | 24.0873 / 120.6788 | 500m | [0], [30,60] | foggy, night, sunny, sunset | 4 |
| USA_seq11 | USA | 39.1816 / -96.5582 | 400m | [0], [60,80] | cloudy, foggy, rainy, sunset | 4 |
| USA_seq12 | USA | 25.7661 / -80.1350 | 600m | [0], [60,80] | cloudy, night, rainy, sunny | 4 |
| USA_seq3 | USA | 42.3514 / -71.1369 | 200m | [0,30], [0] | cloudy, night, sunny, sunset | 4 |
| USA_seq4 | USA | 47.6270 / -122.3633 | 600m | [0], [30,60] | foggy, night, sunny, sunset | 4 |
| USA_seq5 | USA | 39.9299 / -75.1545 | 700m | [0,30], [0] | cloudy, foggy, sunny, sunset | 4 |
| USA_seq6 | USA | 41.2054 / -112.0662 | 800m | [0], [30,60] | cloudy, foggy, sunny, sunset | 4 |
| USA_seq7 | USA | 27.0912 / -82.4349 | 100m | [0,30], [0] | cloudy, foggy, night, sunny | 4 |
| USA_seq8 | USA | 34.0375 / -118.2847 | 400m | [0], [30,60] | foggy, night, sunny, sunset | 4 |
Citation
If you find this dataset useful, please cite:
@article{cheng2026airzoo,
title={AirZoo: A Unified Large-Scale Dataset for Grounding Aerial Geometric 3D Vision},
author={Cheng, Xiaoya and Wu, Rouwan and Liu, Xinyi and Cui, Zeyu and Liu, Yan and Zhao, Na and Liu, Yu and Zhang, Maojun and Yan, Shen},
journal={arXiv preprint arXiv:2604.26567},
year={2026}
}
Licensing Information
Copyright (c) 2026 Saw Lab, National University of Defense Technology (NUDT).
The Dataset is provided for non-commercial research and educational purposes only.
Terms of Use:
- Attribution: You must provide appropriate credit to Saw Lab, NUDT and cite the corresponding paper in any derivative works or publications.
- Non-Commercial: Commercial use, including but not limited to selling the data or using it to train commercial models, is strictly prohibited.
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