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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 dataset

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0 0.187156 0.365237 0.374313 0.730474
0 0.384672 0.476475 0.573602 0.561984
0 0.840257 0.259814 0.319486 0.519627
0 0.249847 0.700730 0.499694 0.598539
0 0.812500 0.313365 0.375000 0.626729
0 0.278461 0.449489 0.496486 0.374993
0 0.882803 0.703178 0.234395 0.593645
0 0.744990 0.625705 0.359608 0.479707
0 0.478785 0.879680 0.210629 0.240641
0 0.811552 0.325424 0.376897 0.523740
0 0.606211 0.477039 0.423458 0.651850
0 0.743534 0.351934 0.512933 0.695352
0 0.500909 0.551500 0.423069 0.549809
0 0.743047 0.261266 0.505144 0.522532
0 0.588680 0.472071 0.144559 0.369793
0 0.393626 0.873163 0.200399 0.253675
0 0.724332 0.536941 0.476219 0.378091
0 0.727486 0.663505 0.519835 0.672990
0 0.839125 0.292753 0.321749 0.585506
0 0.608800 0.472531 0.474268 0.605768
0 0.430891 0.767667 0.262970 0.380525
0 0.412373 0.509240 0.202659 0.390866
0 0.506998 0.552524 0.395628 0.547822
0 0.627007 0.277488 0.296251 0.437092
0 0.422569 0.515625 0.114583 0.337500
0 0.592927 0.206457 0.259181 0.412913
0 0.587874 0.438388 0.530782 0.623624
0 0.644172 0.097147 0.227811 0.194293
0 0.281241 0.298443 0.494766 0.596885
0 0.408158 0.508840 0.158121 0.379560
0 0.680130 0.145332 0.263523 0.290663
0 0.218210 0.522263 0.436419 0.631972
0 0.690690 0.303504 0.430681 0.607008
0 0.274879 0.714566 0.549757 0.570869
0 0.422569 0.515625 0.114583 0.337500
0 0.496449 0.552160 0.368407 0.535141
0 0.196772 0.411147 0.393545 0.822293
0 0.296986 0.705745 0.456952 0.588509
0 0.221159 0.660181 0.442319 0.679638
0 0.798899 0.663084 0.402201 0.673831
0 0.134478 0.697741 0.268956 0.522321
0 0.269082 0.315439 0.523992 0.615039
0 0.562344 0.123262 0.221216 0.246525
0 0.288170 0.707908 0.576340 0.584184
0 0.206630 0.742587 0.413260 0.514826
0 0.308580 0.881464 0.259061 0.237072
0 0.388732 0.538237 0.445412 0.605142
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0 0.585260 0.133647 0.177865 0.267294
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0 0.422569 0.515625 0.114583 0.337500
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0 0.518033 0.441271 0.326809 0.600083
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0 0.645144 0.216571 0.320237 0.433141
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0 0.428462 0.896494 0.207919 0.207013
0 0.281682 0.469449 0.489796 0.348636
0 0.791075 0.596177 0.417850 0.523234
0 0.187500 0.313365 0.375000 0.626729
0 0.198331 0.732650 0.370251 0.510264
0 0.592898 0.509860 0.162119 0.371697
0 0.577431 0.515625 0.114583 0.337500
0 0.493671 0.557813 0.370522 0.606173
0 0.373737 0.501414 0.738065 0.955084
End of preview.

Drone Blue Frame Object Detection Dataset (v3.0 β€” Natural Roboflow Augmentations)

Clean 500-image object detection dataset derived directly from ground-truth annotated frames (blueObjectDetection.coco 2), keeping authentic blue object coloring and real-world indoor backgrounds with subtle physical augmentations.

🎯 Augmentation Specifications

  • Flip: Horizontal (p=0.5), Vertical (p=0.5)
  • Crop / Zoom: 0% minimum zoom, 26% maximum zoom
  • Rotation: Between -15Β° and +15Β°
  • Shear: Β±10Β° Horizontal, Β±10Β° Vertical
  • Hue: Between -15Β° and +15Β° (natural color fidelity preserved)
  • Brightness / Contrast: Between -15% and +15%
  • Blur: Gaussian blur up to 2.9px
  • Noise: Gaussian noise up to 3.86% of pixels

πŸ“Š Dataset Structure

  • Total Images: 500 images at 640Γ—640
    • train: 400 images + YOLO labels
    • val: 100 images + YOLO labels
  • Archive: dataset.zip (40MB fast single-file download)
  • Classes:
    • 0: blue_object
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Models trained or fine-tuned on harsh-awasthi/bluemockdrone