Datasets:
The dataset viewer is not available for this subset.
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/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/corrections/L/[]) changed from array to number in row 0
During handling of the above exception, another exception occurred:
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/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
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.
Camera-trap flag survey for Reference-Conditioned Distance Intervals
The flag survey behind the paper Reference-Conditioned Distance Intervals on Unseen Camera Traps (Computer Vision for Ecology Workshop, ECCV 2026). A field team placed numbered flags at known distances in front of each trail camera and photographed them with the camera itself. Each photo therefore contains pixels whose ground distance from the camera is known, which is the metric ground truth used to calibrate the cameras and to train and evaluate the model.
- Code: https://github.com/toqitahamid/camtrap-distance
- Model weights: https://huggingface.co/toqi/camtrap-distance
Contents
| cameras | 62 (Browning BTC-7E), at two forest sites in Illinois, USA (MAS, TON) |
| flag photos | 122; 60 cameras have two photos taken months apart, 2 have one |
| image size | 1920 × 1080 |
| ground-contact markers after quality control | 4,395 |
| flag distances | 2 to 15 m, integer metres, along three transects (left, centre, right) |
flaglabel-dataset/<CAMERA>/<IMAGE>.JPG flag photo
flaglabel-dataset/<CAMERA>/<IMAGE>.json annotations for that photo
calibrations/<CAMERA>/<IMAGE>.json fitted camera parameters for that photo
Annotations
Each annotation file lists, for every visible flag, its transect, its known distance, and one or more of:
- the ground-contact point, where the flag meets the ground;
- a span along the flag body (known physical length);
- a span from the flag top to the ground.
Flags are identical, so a point fixes a pixel at a known distance and a span fixes a pixel length at a known size. Flag dimensions are stored in each file.
Calibrations
calibrations/ is derived from the annotations by scripts/calibrate.py in the
code repository: focal length, camera height, pitch and roll per photo, plus
quality-control diagnostics. It is included so the paper's numbers can be
reproduced without refitting.
Splits
The paper's split of 43 training, 7 validation and 12 test cameras is defined
in the code repository (src/network/build_targets.py); the dataset itself is
not split.
Privacy
All EXIF metadata has been removed from the photos, and the originals carried no GPS. The camera banner shows only temperature, date, time and a camera code.
Usage
pip install huggingface_hub
hf auth login # after access is granted
From the code repository, PYTHONPATH=. python scripts/fetch_data.py downloads
the survey into data/, where the calibrator, the training code and the tests
expect it.
Licence
CC BY-NC 4.0 (see LICENSE), with the access conditions stated above.
Citation
@inproceedings{sarker2026reference,
title = {Reference-Conditioned Distance Intervals on Unseen Camera Traps},
author = {Sarker, Toqi Tahamid and Islam, Taminul and Morelock, Seth J.
and Bastille-Rousseau, Guillaume and Ahmed, Khaled R.},
booktitle = {Computer Vision for Ecology Workshop, European Conference on Computer Vision (ECCV)},
year = {2026}
}
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