ubr-physical-ai/rescue-target-yolo26n
Object Detection • Updated • 27
Datasets:
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
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 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
jpg image | __key__ string | __url__ string |
|---|---|---|
beyond25_hall_lying_roverview__00000 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00001 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00002 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00004 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00005 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00006 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00007 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00008 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00009 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00010 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00011 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00013 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00014 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00015 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00016 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00017 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00018 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00020 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00021 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00022 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00023 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00024 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00025 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00026 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00027 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00028 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00029 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00030 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00031 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00032 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00033 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00034 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00035 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00036 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00037 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00038 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00039 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00040 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00041 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00042 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00043 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00044 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00046 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00047 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00048 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00049 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00050 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00051 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00052 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00053 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00054 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00055 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00056 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00057 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00058 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00059 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00060 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00061 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00062 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00063 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00064 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00065 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00066 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00067 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00068 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00069 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00070 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00071 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00072 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00073 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00074 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00075 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00076 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00077 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00079 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00080 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00081 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00082 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00083 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00084 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00085 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00086 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00087 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00088 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00090 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00091 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00092 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00093 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00095 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00096 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00097 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00098 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00099 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00100 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00101 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00102 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00103 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00104 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00105 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar | |
beyond25_hall_lying_roverview__00106 | hf://datasets/ubr-physical-ai/isaac-sdg-rescue-target@92bb89405242f204dd8d76be45877808bbdd98dd/train-000.tar |
End of preview.
isaac-sdg-rescue-target
Synthetic training data for detecting a person lying on the ground wearing a hi-vis vest, the target class of the search-and-rescue spotter. Rendered with NVIDIA Isaac Sim 6.0.1 Replicator (path-traced RTX) from posed, vested worker characters placed in real Isaac environments, with per-frame randomization of camera position, HDRI sky, key light, target pose, and distractor objects with random materials. Ground truth is exact: boxes come from the renderer, not from annotators.
Built 2026-09-10. 133760 images (120384 train / 13376 validation),
1024x768 / 1280x720 px
(see width/height per image), JPEG quality 92.
Classes
| Class | id | train boxes | validation boxes |
|---|---|---|---|
| distractor | 0 | 470977 | 52324 |
| person_lying_vest | 1 | 36774 | 4040 |
| person_bending_vest | 2 | 1273 | 141 |
| person_crouching_vest | 3 | 1299 | 138 |
| person_kneeling_vest | 4 | 1312 | 137 |
| person_seated_vest | 5 | 1269 | 155 |
| person_standing_vest | 6 | 1321 | 143 |
| person_walking_vest | 7 | 1319 | 156 |
| person_bending | 8 | 3791 | 455 |
| person_crouching | 9 | 3783 | 402 |
| person_kneeling | 10 | 3850 | 410 |
| person_seated | 11 | 3736 | 398 |
| person_standing | 12 | 3943 | 448 |
| person_walking | 13 | 3929 | 439 |
| person_lying | 14 | 20509 | 2313 |
distractor boxes (if present) mark random primitive shapes scattered as clutter; keep them as
a negative class or drop them at training time.
Positives are the lying classes only. person_lying_vest (hi-vis vest) and person_lying (no vest:
police, medical, business and other characters) are what a casualty detector must find; the upright
classes are hard negatives it must not fire on. Every person class is split by hi-vis vest, so the
vest's contribution to recall is measurable: person_standing_vest / person_standing,
person_walking_vest / person_walking, and the same for bending, kneeling, crouching and seated.
Train with the lying classes as the positive and the upright ones unlabelled (background), or as extra
classes the deployment ignores; do not merge every person* box into one class, that turns the
negatives into positives.
Occluded frames are negatives, not empty labels. person_visible: false on an image means the
person was placed but is hidden (racking, walls, furniture); such frames carry no annotation, their
pose is none, and the pose that was placed is kept as pose_placed. Frames of the negative sweep
have no person at all and no pose_placed. Every image also carries distance_m and bearing_deg
(camera to target), hdri, seed, resolution and camera_view.
view / camera_view values: orbit (2.2-3.4 m, 47-degree lens), roverview (4-25 m),
roverview_far (10-17.5 m), roverview_far2 (17.5-30 m), night (environment lights at 3 %, night
skies, a lamp riding on the camera), fog (distance fog from 3 m, dense by 45 m); every rover view uses
the rover's 90-degree lens at 0.55-0.65 m. Environments: warehouse, office, hospital, the 76 x 73 m
ArchVis hall, and Rivermark, an outdoor street block whose ground sits at z = 5.75 m.
Coverage
| Environment | train images | validation images |
|---|---|---|
| hall | 25740 | 2860 |
| hospital | 19854 | 2206 |
| office | 21024 | 2336 |
| rivermark | 24426 | 2714 |
| rough_plane | 360 | 40 |
| slope | 360 | 40 |
| stairs | 360 | 40 |
| void | 180 | 20 |
| warehouse | 28080 | 3120 |
| Pose | train images | validation images |
|---|---|---|
| lying_mixed | 73800 | 8200 |
| none | 756 | 84 |
| prone | 1980 | 220 |
| supine | 2016 | 224 |
| upright | 41832 | 4648 |
| Camera view | train images | validation images |
|---|---|---|
| fog | 2520 | 280 |
| night | 3240 | 360 |
| orbit | 2196 | 244 |
| roverview | 110862 | 12318 |
| roverview_far | 900 | 100 |
| roverview_far2 | 666 | 74 |
orbit: a camera ring 2.2-3.5 m out at 0.8-1.7 m height, 47-degree lens. roverview: the rover's own
camera geometry, 0.58 m height, 90-degree lens, 4-8.5 m; roverview_far: the same lens at 10-17.5 m.
Vest colours: mixed, none, orange, yellow.
Format
Hugging Face imagefolder: each split folder holds JPEG images and a metadata.jsonl with one
row per image:
{"file_name": "...jpg", "image_id": 0, "width": 1280, "height": 720,
"environment": "warehouse", "pose": "supine", "vest": "yellow", "source_run": "...",
"objects": {"id": [..], "bbox": [[x, y, w, h], ..], "category": [..], "category_name": [..], "area": [..]}}
bbox is COCO [x, y, width, height] in pixels. category indexes classes.json. view is the camera
geometry the frame was rendered with (see Coverage).
Merged COCO files for detector frameworks are in annotations/coco_train.json and
annotations/coco_validation.json. Exact generator configs are in provenance/.
from datasets import load_dataset
ds = load_dataset("imagefolder", data_dir=".") # or the Hub repo id
ex = ds["train"][0]; ex["image"], ex["objects"]
How it was generated
- Generator:
sdg_generate.py(config-driven Isaac Sim Replicator pipeline), verified per run bysdg_verify.py(labels drawn back onto pixels; environment labels stripped; duplicates and sub-2 px boxes removed). - Target asset: an Isaac People construction-worker character posed lying down on its own
skeleton and baked to static meshes (
assets/rescue/make_lying_pose.py); supine and prone. - Camera: a ring of positions [25.0, 30.0, 35.0, 40.0] m out, [0.58] m up, 24 angles; 14 HDRI skies; randomized key light.
Provenance
| Run | environment | pose | vest | view | frames | generated |
|---|---|---|---|---|---|---|
| sdg_beyond25_hall_lying_roverview | hall | lying_mixed | mixed | roverview | 600 | 2026-09-09T22:59:41 |
| sdg_beyond25_rivermark_lying_roverview | rivermark | lying_mixed | mixed | roverview | 600 | 2026-09-09T23:02:51 |
| sdg_cover_hall_lying_roverview | hall | lying_mixed | mixed | roverview | 500 | 2026-09-09T21:29:43 |
| sdg_cover_warehouse_lying_roverview | warehouse | lying_mixed | mixed | roverview | 500 | 2026-09-09T21:36:04 |
| sdg_far1725_hall_lying_roverview | hall | lying_mixed | mixed | roverview | 320 | 2026-09-09T21:19:29 |
| sdg_far1725_hospital_lying_roverview | hospital | lying_mixed | mixed | roverview | 320 | 2026-09-09T21:20:57 |
| sdg_far1725_office_lying_roverview | office | lying_mixed | mixed | roverview | 320 | 2026-09-09T21:22:05 |
| sdg_far1725_rivermark_lying_roverview | rivermark | lying_mixed | mixed | roverview | 320 | 2026-09-09T21:24:01 |
| sdg_far1725_warehouse_lying_roverview | warehouse | lying_mixed | mixed | roverview | 320 | 2026-09-09T21:28:10 |
| sdg_far_hall_lying_roverview | hall | lying_mixed | mixed | roverview_far2 | 300 | 2026-09-09T17:47:59 |
| sdg_far_hall_upright_roverview | hall | upright | mixed | roverview_far2 | 240 | 2026-09-09T17:48:50 |
| sdg_far_void_lying_roverview | void | lying_mixed | mixed | roverview_far2 | 200 | 2026-09-09T17:51:01 |
| sdg_fog_hall_poses_roverview | hall | upright | mixed | fog | 500 | 2026-09-09T23:06:07 |
| sdg_fog_hospital_lying_roverview | hospital | lying_mixed | mixed | fog | 500 | 2026-09-09T23:08:11 |
| sdg_fog_office_lying_roverview | office | lying_mixed | mixed | fog | 500 | 2026-09-09T23:09:49 |
| sdg_fog_rivermark_lying_roverview | rivermark | lying_mixed | mixed | fog | 500 | 2026-09-09T22:56:41 |
| sdg_fog_rivermark_poses_roverview | rivermark | upright | mixed | fog | 500 | 2026-09-09T23:13:19 |
| sdg_fog_warehouse_poses_roverview | warehouse | upright | mixed | fog | 300 | 2026-09-09T21:59:26 |
| sdg_lying_hall_s2_roverview | hall | lying_mixed | mixed | roverview | 1000 | 2026-09-09T23:50:08 |
| sdg_lying_hall_s3_roverview | hall | lying_mixed | mixed | roverview | 1200 | 2026-09-10T01:12:04 |
| sdg_lying_hall_s601_roverview | hall | lying_mixed | mixed | roverview | 1500 | 2026-09-10T01:56:46 |
| sdg_lying_hall_s616_roverview | hall | lying_mixed | mixed | roverview | 1500 | 2026-09-10T03:57:30 |
| sdg_lying_hall_s631_roverview | hall | lying_mixed | mixed | roverview | 1500 | 2026-09-10T08:23:20 |
| sdg_lying_hall_s646_roverview | hall | lying_mixed | mixed | roverview | 1500 | 2026-09-10T10:32:00 |
| sdg_lying_hospital_s605_roverview | hospital | lying_mixed | mixed | roverview | 1500 | 2026-09-10T02:02:02 |
| sdg_lying_hospital_s620_roverview | hospital | lying_mixed | mixed | roverview | 1500 | 2026-09-10T04:02:47 |
| sdg_lying_hospital_s635_roverview | hospital | lying_mixed | mixed | roverview | 1500 | 2026-09-10T08:28:39 |
| sdg_lying_hospital_s650_roverview | hospital | lying_mixed | mixed | roverview | 1500 | 2026-09-10T10:37:14 |
| sdg_lying_office_s2_roverview | office | lying_mixed | mixed | roverview | 1000 | 2026-09-09T23:53:47 |
| sdg_lying_office_s604_roverview | office | lying_mixed | mixed | roverview | 1500 | 2026-09-10T02:05:59 |
| sdg_lying_office_s619_roverview | office | lying_mixed | mixed | roverview | 1500 | 2026-09-10T04:06:45 |
| sdg_lying_office_s634_roverview | office | lying_mixed | mixed | roverview | 1500 | 2026-09-10T08:32:41 |
| sdg_lying_office_s649_roverview | office | lying_mixed | mixed | roverview | 1500 | 2026-09-10T10:41:11 |
| sdg_lying_rivermark_s2_roverview | rivermark | lying_mixed | mixed | roverview | 1000 | 2026-09-09T23:57:57 |
| sdg_lying_rivermark_s3_roverview | rivermark | lying_mixed | mixed | roverview | 1200 | 2026-09-10T01:18:03 |
| sdg_lying_rivermark_s602_roverview | rivermark | lying_mixed | mixed | roverview | 1500 | 2026-09-10T02:11:39 |
| sdg_lying_rivermark_s617_roverview | rivermark | lying_mixed | mixed | roverview | 1500 | 2026-09-10T04:12:23 |
| sdg_lying_rivermark_s632_roverview | rivermark | lying_mixed | mixed | roverview | 1500 | 2026-09-10T08:38:25 |
| sdg_lying_rivermark_s647_roverview | rivermark | lying_mixed | mixed | roverview | 1500 | 2026-09-10T10:46:49 |
| sdg_lying_warehouse_s2_roverview | warehouse | lying_mixed | mixed | roverview | 1000 | 2026-09-10T00:09:27 |
| sdg_lying_warehouse_s3_roverview | warehouse | lying_mixed | mixed | roverview | 1200 | 2026-09-10T01:32:04 |
| sdg_lying_warehouse_s603_roverview | warehouse | lying_mixed | mixed | roverview | 1500 | 2026-09-10T02:29:15 |
| sdg_lying_warehouse_s618_roverview | warehouse | lying_mixed | mixed | roverview | 1500 | 2026-09-10T04:29:32 |
| sdg_lying_warehouse_s633_roverview | warehouse | lying_mixed | mixed | roverview | 1500 | 2026-09-10T08:55:53 |
| sdg_lying_warehouse_s648_roverview | warehouse | lying_mixed | mixed | roverview | 1500 | 2026-09-10T11:04:16 |
| sdg_multi_hospital_roverview | hospital | lying_mixed | mixed | roverview | 400 | 2026-09-09T21:39:00 |
| sdg_multi_office_roverview | office | lying_mixed | mixed | roverview | 400 | 2026-09-09T21:41:37 |
| sdg_negative_hall_clutter_roverview | hall | none | none | roverview | 120 | 2026-09-09T21:15:21 |
| sdg_negative_hospital_clutter_roverview | hospital | none | none | roverview | 120 | 2026-09-09T21:16:13 |
| sdg_negative_hospital_roverview | hospital | none | none | roverview | 120 | 2026-09-09T17:44:42 |
| sdg_negative_office_clutter_roverview | office | none | none | roverview | 120 | 2026-09-09T21:16:59 |
| sdg_negative_office_roverview | office | none | none | roverview | 120 | 2026-09-09T17:44:07 |
| sdg_negative_warehouse_clutter_roverview | warehouse | none | none | roverview | 120 | 2026-09-09T21:18:34 |
| sdg_negative_warehouse_roverview | warehouse | none | none | roverview | 120 | 2026-09-09T17:43:31 |
| sdg_night_hall_far_lying_roverview | hall | lying_mixed | mixed | night | 400 | 2026-09-09T23:21:04 |
| sdg_night_hall_lying_roverview | hall | lying_mixed | mixed | night | 500 | 2026-09-09T23:22:50 |
| sdg_night_hospital_lying_roverview | hospital | lying_mixed | mixed | night | 200 | 2026-09-09T17:47:06 |
| sdg_night_office_lying_roverview | office | lying_mixed | mixed | night | 500 | 2026-09-09T23:24:56 |
| sdg_night_rivermark_lying_roverview | rivermark | lying_mixed | mixed | night | 500 | 2026-09-09T23:27:36 |
| sdg_night_warehouse_lying_roverview | warehouse | lying_mixed | mixed | night | 300 | 2026-09-09T17:46:21 |
| sdg_novest_hall_lying_roverview | hall | lying_mixed | none | roverview | 500 | 2026-09-09T22:01:15 |
| sdg_novest_hall_s2_roverview | hall | lying_mixed | none | roverview | 800 | 2026-09-10T00:12:25 |
| sdg_novest_hall_s611_roverview | hall | lying_mixed | none | roverview | 1500 | 2026-09-10T02:34:01 |
| sdg_novest_hall_s626_roverview | hall | lying_mixed | none | roverview | 1500 | 2026-09-10T04:34:20 |
| sdg_novest_hall_s641_roverview | hall | lying_mixed | none | roverview | 1500 | 2026-09-10T09:00:48 |
| sdg_novest_hall_s656_roverview | hall | lying_mixed | none | roverview | 1500 | 2026-09-10T11:09:00 |
| sdg_novest_hospital_lying_roverview | hospital | lying_mixed | none | roverview | 300 | 2026-09-09T22:03:10 |
| sdg_novest_hospital_s615_roverview | hospital | lying_mixed | none | roverview | 1500 | 2026-09-10T04:40:12 |
| sdg_novest_hospital_s630_roverview | hospital | lying_mixed | none | roverview | 1500 | 2026-09-10T09:06:52 |
| sdg_novest_hospital_s645_roverview | hospital | lying_mixed | none | roverview | 1500 | 2026-09-10T11:14:47 |
| sdg_novest_office_lying_roverview | office | lying_mixed | none | roverview | 300 | 2026-09-09T22:04:30 |
| sdg_novest_office_s614_roverview | office | lying_mixed | none | roverview | 1500 | 2026-09-10T02:40:06 |
| sdg_novest_office_s629_roverview | office | lying_mixed | none | roverview | 1500 | 2026-09-10T04:44:56 |
| sdg_novest_office_s644_roverview | office | lying_mixed | none | roverview | 1500 | 2026-09-10T09:11:42 |
| sdg_novest_rivermark_lying_roverview | rivermark | lying_mixed | none | roverview | 500 | 2026-09-09T22:07:04 |
| sdg_novest_rivermark_s2_roverview | rivermark | lying_mixed | none | roverview | 800 | 2026-09-10T00:16:54 |
| sdg_novest_rivermark_s612_roverview | rivermark | lying_mixed | none | roverview | 1500 | 2026-09-10T02:46:15 |
| sdg_novest_rivermark_s627_roverview_20260910_125119 | rivermark | lying_mixed | none | roverview | 1500 | 2026-09-10T12:56:34 |
| sdg_novest_rivermark_s642_roverview | rivermark | lying_mixed | none | roverview | 1500 | 2026-09-10T09:18:06 |
| sdg_novest_rivermark_s657_roverview | rivermark | lying_mixed | none | roverview | 1500 | 2026-09-10T11:21:09 |
| sdg_novest_warehouse_lying_roverview | warehouse | lying_mixed | none | roverview | 600 | 2026-09-09T22:14:31 |
| sdg_novest_warehouse_s2_roverview | warehouse | lying_mixed | none | roverview | 800 | 2026-09-10T00:26:33 |
| sdg_novest_warehouse_s613_roverview | warehouse | lying_mixed | none | roverview | 1500 | 2026-09-10T03:04:05 |
| sdg_novest_warehouse_s628_roverview | warehouse | lying_mixed | none | roverview | 1500 | 2026-09-10T05:01:52 |
| sdg_novest_warehouse_s643_roverview | warehouse | lying_mixed | none | roverview | 1500 | 2026-09-10T09:36:49 |
| sdg_novest_warehouse_s658_roverview | warehouse | lying_mixed | none | roverview | 1500 | 2026-09-10T11:38:59 |
| sdg_poses_hall_roverview | hall | upright | mixed | roverview | 1920 | 2026-09-10T00:34:12 |
| sdg_poses_hall_s3_roverview | hall | upright | mixed | roverview | 1200 | 2026-09-10T01:37:42 |
| sdg_poses_hall_s606_roverview | hall | upright | mixed | roverview | 1500 | 2026-09-10T03:11:06 |
| sdg_poses_hall_s621_roverview | hall | upright | mixed | roverview | 1500 | 2026-09-10T05:08:55 |
| sdg_poses_hall_s636_roverview | hall | upright | mixed | roverview | 1500 | 2026-09-10T09:44:07 |
| sdg_poses_hall_s651_roverview | hall | upright | mixed | roverview | 1500 | 2026-09-10T11:45:13 |
| sdg_poses_hospital_night_roverview | hospital | upright | mixed | night | 400 | 2026-09-09T20:37:19 |
| sdg_poses_hospital_roverview | hospital | upright | mixed | roverview | 1920 | 2026-09-09T20:33:28 |
| sdg_poses_hospital_s610_roverview | hospital | upright | mixed | roverview | 1500 | 2026-09-10T03:18:53 |
| sdg_poses_hospital_s625_roverview | hospital | upright | mixed | roverview | 1500 | 2026-09-10T05:16:47 |
| sdg_poses_hospital_s640_roverview | hospital | upright | mixed | roverview | 1500 | 2026-09-10T09:52:37 |
| sdg_poses_hospital_s655_roverview | hospital | upright | mixed | roverview | 1500 | 2026-09-10T11:52:41 |
| sdg_poses_office_night_roverview | office | upright | mixed | night | 400 | 2026-09-09T20:47:48 |
| sdg_poses_office_roverview | office | upright | mixed | roverview | 1920 | 2026-09-09T20:44:22 |
| sdg_poses_office_s609_roverview | office | upright | mixed | roverview | 1500 | 2026-09-10T03:25:37 |
| sdg_poses_office_s624_roverview | office | upright | mixed | roverview | 1500 | 2026-09-10T05:23:32 |
| sdg_poses_office_s639_roverview | office | upright | mixed | roverview | 1500 | 2026-09-10T10:00:03 |
| sdg_poses_office_s654_roverview | office | upright | mixed | roverview | 1500 | 2026-09-10T11:59:25 |
| sdg_poses_rivermark_roverview | rivermark | upright | mixed | roverview | 1920 | 2026-09-10T00:46:26 |
| sdg_poses_rivermark_s607_roverview | rivermark | upright | mixed | roverview | 1500 | 2026-09-10T03:33:58 |
| sdg_poses_rivermark_s622_roverview | rivermark | upright | mixed | roverview | 1500 | 2026-09-10T13:06:40 |
| sdg_poses_rivermark_s637_roverview | rivermark | upright | mixed | roverview | 1500 | 2026-09-10T10:08:37 |
| sdg_poses_rivermark_s652_roverview | rivermark | upright | mixed | roverview | 1500 | 2026-09-10T12:07:57 |
| sdg_poses_warehouse_night_roverview | warehouse | upright | mixed | night | 400 | 2026-09-09T21:13:59 |
| sdg_poses_warehouse_roverview | warehouse | upright | mixed | roverview | 1920 | 2026-09-09T21:09:19 |
| sdg_poses_warehouse_s3_roverview | warehouse | upright | mixed | roverview | 1200 | 2026-09-10T01:52:53 |
| sdg_poses_warehouse_s608_roverview | warehouse | upright | mixed | roverview | 1500 | 2026-09-10T03:53:14 |
| sdg_poses_warehouse_s623_roverview | warehouse | upright | mixed | roverview | 1500 | 2026-09-10T08:18:59 |
| sdg_poses_warehouse_s638_roverview | warehouse | upright | mixed | roverview | 1500 | 2026-09-10T10:27:43 |
| sdg_poses_warehouse_s653_roverview | warehouse | upright | mixed | roverview | 1500 | 2026-09-10T12:27:22 |
| sdg_rescue | warehouse | supine | yellow | orbit | 40 | 2026-09-02T11:34:20 |
| sdg_rescue_hospital_prone_orange | hospital | prone | orange | orbit | 400 | 2026-09-02T16:18:43 |
| sdg_rescue_hospital_supine_yellow | hospital | supine | yellow | orbit | 400 | 2026-09-02T16:12:12 |
| sdg_rescue_office_prone_yellow | office | prone | yellow | orbit | 400 | 2026-09-02T15:52:17 |
| sdg_rescue_office_supine_orange | office | supine | orange | orbit | 400 | 2026-09-02T15:49:48 |
| sdg_rescue_warehouse_prone_yellow | warehouse | prone | yellow | orbit | 400 | 2026-09-02T12:32:55 |
| sdg_rescue_warehouse_prone_yellow_roverview | warehouse | prone | yellow | roverview | 500 | 2026-09-08T11:21:42 |
| sdg_rescue_warehouse_prone_yellow_roverview_far | warehouse | prone | yellow | roverview_far | 500 | 2026-09-08T11:31:45 |
| sdg_rescue_warehouse_supine_yellow | warehouse | supine | yellow | orbit | 400 | 2026-09-02T12:28:56 |
| sdg_rescue_warehouse_supine_yellow_roverview | warehouse | supine | yellow | roverview | 500 | 2026-09-08T11:26:48 |
| sdg_rescue_warehouse_supine_yellow_roverview_far | warehouse | supine | yellow | roverview_far | 500 | 2026-09-08T11:36:43 |
| sdg_rivermark_road_lying_roverview | rivermark | lying_mixed | mixed | roverview | 500 | 2026-09-09T22:17:24 |
| sdg_rivermark_road_poses_roverview | rivermark | upright | mixed | roverview | 300 | 2026-09-09T22:20:42 |
| sdg_rivermark_side_lying_roverview | rivermark | lying_mixed | mixed | roverview | 500 | 2026-09-09T22:23:28 |
| sdg_terrain_rough_lying_roverview | rough_plane | lying_mixed | mixed | roverview | 400 | 2026-09-09T23:32:14 |
| sdg_terrain_slope_lying_roverview | slope | lying_mixed | mixed | roverview | 400 | 2026-09-09T23:36:18 |
| sdg_terrain_stairs_lying_roverview | stairs | lying_mixed | mixed | roverview | 400 | 2026-09-09T23:40:12 |
| sdg_two_hall_lying_roverview | hall | lying_mixed | mixed | roverview | 500 | 2026-09-09T23:41:56 |
| sdg_two_warehouse_lying_roverview | warehouse | lying_mixed | mixed | roverview | 500 | 2026-09-09T23:47:53 |
| sdg_upright_hospital_roverview | hospital | upright | mixed | roverview | 480 | 2026-09-09T17:42:01 |
| sdg_upright_office_roverview | office | upright | mixed | roverview | 480 | 2026-09-09T17:40:40 |
| sdg_upright_warehouse_roverview | warehouse | upright | mixed | roverview | 480 | 2026-09-09T17:39:15 |
| sdg_vehicles_warehouse_multi_roverview | warehouse | lying_mixed | mixed | roverview | 600 | 2026-09-09T21:49:38 |
Caveats
- Synthetic. Validate on real photographs from the deployed robots before trusting a number.
- Every pose is authored, not physically fallen or captured, and comes from one character per vest colour: supine and prone for the target, six upright poses for the hard negatives.
- Environment labels were stripped; shelving, pallets and walls are unlabeled background.
- Rendered content derives from NVIDIA Isaac Sim assets; see License.
License
- Annotations, metadata, configs, provenance and this card: CC BY 4.0 (UB Robotics / teex). Cite the dataset if you use it.
- Images: rendered with NVIDIA Isaac Sim Replicator from NVIDIA-distributed assets (characters, environments, skies). NVIDIA's Isaac Sim Additional Software and Materials License (v. June 9, 2025) forbids redistributing the assets themselves and does not address rendered output; the source assets are not included here, only renders. If you are NVIDIA and read this differently, contact us and we will adjust.
- Synthetic throughout: no real people, no real locations, no personal data.
Benchmark protocol
This dataset is the training side of a casualty-search benchmark for ground robots. The evaluation
protocol we adopt (SubT-style mission scoring, per-distance detector recall, false-alarm rate on
negatives, N and spread reported for every number) is in BENCHMARK.md, together
with the standards it borrows from.
Layout on this revision (v3)
The images are packed into WebDataset-style tar shards, not loose files: 133,760 JPEGs in
train-000.tar .. train-032.tar and validation-000.tar .. validation-003.tar. Loose files
drew 10,630 rate-limit responses from the Hub and never finished uploading; the same content as
37 shards uploads in one pass.
import datasets
# the shards, with the per-image metadata alongside
ds = datasets.load_dataset("webdataset", data_files={"train": "train-*.tar", "validation": "validation-*.tar"})
train-metadata.jsonl and validation-metadata.jsonl carry one row per image: file_name,
environment, pose, vest, person_visible, distance_m, bearing_deg, hdri, seed,
resolution, and the objects block. annotations/coco_{train,validation}.json are the merged
COCO files, with RLE segmentation on every annotation.
clips/ holds 109 camera orbits (93 frames each) with instance-id masks and a per-clip COCO,
indexed by clips.jsonl at the root. They are the input side of a video-to-video translation
step; see the clips card for the details.
Other revisions: main is the 7,440-image release in loose-file layout; v2 is a 23,960-image
staging snapshot in the same sharded layout as this one.
- Downloads last month
- 592
Models trained or fine-tuned on ubr-physical-ai/isaac-sdg-rescue-target