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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Invalid string class label subset-HaGRIDv2-512px@6bce49ea0a64d11f7b59f4bffdbe2317ca076596
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2474, in __iter__
                  example = _apply_feature_types_on_example(
                      example, self.features, token_per_repo_id=self.token_per_repo_id
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2391, in _apply_feature_types_on_example
                  encoded_example = features.encode_example(example)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2192, in encode_example
                  return encode_nested_example(self, example)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1472, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                      ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1495, in encode_nested_example
                  return schema.encode_example(obj) if obj is not None else None
                         ~~~~~~~~~~~~~~~~~~~~~^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1168, in encode_example
                  example_data = self.str2int(example_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1105, in str2int
                  output = [self._strval2int(value) for value in values]
                            ~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1126, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label subset-HaGRIDv2-512px@6bce49ea0a64d11f7b59f4bffdbe2317ca076596

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HaGRIDv2 Extracted 13 Classes

This dataset is a subset of the HaGRIDv2 dataset.

It contains 26,000 images belonging to 13 hand gesture classes, with 2,000 images per class.

The dataset was created by extracting selected images from the original HaGRIDv2 dataset.

Example

MLP Gesture Recognition Pipeline

A pipeline for extracting landmark vectors from images using the MediaPipe model, including data normalization relative to the wrist point. The pipeline incorporates dataset filtering to reduce the number of incorrectly captured gestures (e.g., instances where a volunteer is holding a phone). An example application of this data is for training a Keras MLP (Multi-Layer Perceptron) model for gesture recognition.

Classes

The dataset contains the following 13 classes:

  • call
  • dislike
  • fist
  • grip
  • like
  • little_finger
  • one
  • peace
  • rock
  • stop
  • three
  • three3
  • thumb_index

Dataset Statistics

Property Value
Number of classes 13
Images per class 2,000
Total images 26,000
Data type Images
Task Hand gesture image classification

Data Format

Images are stored as individual image files and organized into directories according to their class labels.

Example:

dataset/
β”œβ”€β”€ call/
β”‚   β”œβ”€β”€ 1.jpg
β”‚   β”œβ”€β”€ 2.jpg
β”‚   └── ...
β”œβ”€β”€ dislike/
β”‚   β”œβ”€β”€ 1.jpg
β”‚   β”œβ”€β”€ 2.jpg
β”‚   └── ...
β”œβ”€β”€ ...
β”‚ 
β”œβ”€β”€ three3/
β”‚   β”œβ”€β”€ 1.jpg
β”‚   β”œβ”€β”€ 2.jpg
β”‚   └── ...
└── thumb_index/
    β”œβ”€β”€ 1.jpg
    β”œβ”€β”€ 2.jpg
    └── 
...

Original Authors:
- Alexander Kapitanov
- Andrey Makhlyarchuk
- Karina Kvanchiani
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