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Datasets:
xPylon
/
hagrid-sample-500k-384p

Tasks:
Object Detection
Languages:
English
Size:
100K<n<1M
License:
Dataset card Files
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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:    ConnectionError
Message:      Couldn't reach 'xPylon/hagrid-sample-500k-384p' on the Hub (LocalEntryNotFoundError)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 223, in compute_first_rows_from_streaming_response
                  info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
                  builder = load_dataset_builder(
                            ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1315, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1133, in dataset_module_factory
                  raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({e.__class__.__name__})") from e
              ConnectionError: Couldn't reach 'xPylon/hagrid-sample-500k-384p' on the Hub (LocalEntryNotFoundError)

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This dataset contains 509,323 images from HaGRID (HAnd Gesture Recognition Image Dataset) downscaled to 384p. The original dataset is 716GB and contains 552,992 1080p images. I created this sample for a tutorial so readers can use the dataset in the free tiers of Google Colab and Kaggle Notebooks.

Original Authors:

Original Dataset Links

Object Classes 

['call',
 'no_gesture',
 'dislike',
 'fist',
 'four',
 'like',
 'mute',
 'ok',
 'one',
 'palm',
 'peace',
 'peace_inverted',
 'rock',
 'stop',
 'stop_inverted',
 'three',
 'three2',
 'two_up',
 'two_up_inverted']

Annotations

  • bboxes: [top-left-X-position, top-left-Y-position, width, height]
  • Multiply top-left-X-position and width values by the image width and multiply top-left-Y-position and height values by the image height.
    00005c9c-3548-4a8f-9d0b-2dd4aff37fc9
    bboxes [[0.23925175, 0.28595301, 0.25055143, 0.20777627]]
    labels [call]
    leading_hand right
    leading_conf 1
    user_id 5a389ffe1bed6660a59f4586c7d8fe2770785e5bf79b09334aa951f6f119c024
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