moeen14/argus-omnimotus-vision-models
Object Detection • Updated
Dataset Preview
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The dataset generation failed
Error code: DatasetGenerationError
Exception: IndexError
Message: list index out of range
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1859, in _prepare_split_single
original_shard_lengths[original_shard_id] += len(table)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
IndexError: list index out of range
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 1694, 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 1880, 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.
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End of preview.
Argus Omnimotus Vision Evaluation Dataset
This dataset contains 377 labeled images collected on the Argus Omnimotus simulated row-crop testbed. It provides the evaluation subsets used for crop and platform detection, overhead task verification, and rail segmentation.
The corresponding models are distributed in moeen14/argus-omnimotus-vision-models. Robot software, deployment tools, CAD, electronics documentation, and the BOM are available in the Argus Omnimotus GitHub repository.
Dataset contents
| Configuration | Task | Images | Annotations | Classes |
|---|---|---|---|---|
crop_detector |
Object detection | 148 | 257 | gCrop, platform, ycrop |
highcam_platform |
Object detection | 161 | 416 | ball, gcrop, platform, ycrop |
highcam_rail |
Instance segmentation | 68 | 106 | rail |
Each configuration contains images/, matching YOLO-format annotations in labels/, and a data.yaml file that defines the task and class order. Detection annotations use normalized class x_center y_center width height values. Rail annotations use normalized polygon coordinates.
Scope
The images cover representative indoor row-crop testbed conditions, including changes in illumination and soil appearance. They form an evaluation release rather than the complete original training corpus. Results may not generalize to outdoor fields, different crop species, other camera viewpoints, or substantially different platform geometry.
Usage
Download the complete dataset:
hf download moeen14/argus-omnimotus-vision-dataset --repo-type dataset --local-dir argus_dataset
Use the evaluation program from the GitHub repository by passing the selected configuration directory and the matching model.
Authors and citation
The Argus Omnimotus project was developed by Moeen Ul Islam, Bishal Adhikari, J. Alex Thomasson, and Dong Chen. Please cite the project using the CITATION.cff file. Users are asked to credit the project when publishing results or derivatives based on this dataset.
License
This dataset release is provided under the MIT License.
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