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Datasets:
schwein69
/
hagrid-subset

Tasks:
Image Classification
Object Detection
Modalities:
Image
Size:
100K - 1M
Tags:
gesture-recognition
computer-vision
hand-gestures
License:
Dataset card Data Studio Files
xet
 Community
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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    HfHubHTTPError
Message:      404 Client Error: Not Found for url: https://cas-bridge-direct.xethub.hf.co/xet-bridge-us/69c28c4824a413508737fdea/cb0c6ae60560cf389bd32c42185fd7f1bf7de079c92578134519e7e1fad9ee8d?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=cas%2F20260324%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20260324T173455Z&X-Amz-Expires=3600&X-Amz-Signature=402d5699fe386f9b91b4e35de00f2f7cb245d2b4e36434d61bc2b1b26391377e&X-Amz-SignedHeaders=host&X-Xet-Cas-Uid=app%3A6241c288797aadd4ac9dd1a9&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27002b242a-dfa8-46fb-b4a5-777c003f2ea6.jpg%3B%20filename%3D%22002b242a-dfa8-46fb-b4a5-777c003f2ea6.jpg%22%3B&response-content-type=image%2Fjpeg&x-amz-checksum-mode=ENABLED&x-id=GetObject

request_id: 01KMGEKW4XDVAKKYFSYQREKFF6; (1) not found
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 409, in hf_raise_for_status
                  response.raise_for_status()
                File "/usr/local/lib/python3.12/site-packages/requests/models.py", line 1026, in raise_for_status
                  raise HTTPError(http_error_msg, response=self)
              requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://cas-bridge-direct.xethub.hf.co/xet-bridge-us/69c28c4824a413508737fdea/cb0c6ae60560cf389bd32c42185fd7f1bf7de079c92578134519e7e1fad9ee8d?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=cas%2F20260324%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20260324T173455Z&X-Amz-Expires=3600&X-Amz-Signature=402d5699fe386f9b91b4e35de00f2f7cb245d2b4e36434d61bc2b1b26391377e&X-Amz-SignedHeaders=host&X-Xet-Cas-Uid=app%3A6241c288797aadd4ac9dd1a9&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27002b242a-dfa8-46fb-b4a5-777c003f2ea6.jpg%3B%20filename%3D%22002b242a-dfa8-46fb-b4a5-777c003f2ea6.jpg%22%3B&response-content-type=image%2Fjpeg&x-amz-checksum-mode=ENABLED&x-id=GetObject
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2674, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2209, in __iter__
                  batch = formatter.format_batch(pa_table)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 472, in format_batch
                  batch = self.python_features_decoder.decode_batch(batch)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 234, in decode_batch
                  return self.features.decode_batch(batch, token_per_repo_id=self.token_per_repo_id) if self.features else batch
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2254, in decode_batch
                  decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1508, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/image.py", line 189, in decode_example
                  bytes_ = BytesIO(f.read())
                                   ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 844, in read_with_retries
                  out = read(*args, **kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 1012, in read
                  out = f.read()
                        ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 1078, in read
                  hf_raise_for_status(self.response)
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 482, in hf_raise_for_status
                  raise _format(HfHubHTTPError, str(e), response) from e
              huggingface_hub.errors.HfHubHTTPError: 404 Client Error: Not Found for url: https://cas-bridge-direct.xethub.hf.co/xet-bridge-us/69c28c4824a413508737fdea/cb0c6ae60560cf389bd32c42185fd7f1bf7de079c92578134519e7e1fad9ee8d?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=cas%2F20260324%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20260324T173455Z&X-Amz-Expires=3600&X-Amz-Signature=402d5699fe386f9b91b4e35de00f2f7cb245d2b4e36434d61bc2b1b26391377e&X-Amz-SignedHeaders=host&X-Xet-Cas-Uid=app%3A6241c288797aadd4ac9dd1a9&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27002b242a-dfa8-46fb-b4a5-777c003f2ea6.jpg%3B%20filename%3D%22002b242a-dfa8-46fb-b4a5-777c003f2ea6.jpg%22%3B&response-content-type=image%2Fjpeg&x-amz-checksum-mode=ENABLED&x-id=GetObject
              
              request_id: 01KMGEKW4XDVAKKYFSYQREKFF6; (1) not found

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HaGRID Gesture Recognition Subset

Dataset Description

A curated subset of the HaGRID (Hand Gesture Recognition Image Dataset) containing 24 gesture classes for training gesture recognition models.

Dataset Summary

  • Total Images: 19,200
  • Gesture Classes: 24
  • Samples per Class: 800
  • Image Format: JPEG
  • Average Image Size: ~302 KB

Splits

Split Images Percentage
Train 14,592 76%
Val 1,728 9%
Test 2,880 15%

Gesture Classes

  1. call
  2. dislike
  3. fist
  4. four
  5. grabbing
  6. grip
  7. like
  8. middle_finger
  9. mute
  10. no_gesture
  11. ok
  12. one
  13. palm
  14. peace
  15. peace_inverted
  16. point
  17. rock
  18. stop
  19. stop_inverted
  20. three
  21. three2
  22. three3
  23. two_up
  24. two_up_inverted

Dataset Structure 

data/
├── train/
│   ├── call/          (608 images)
│   ├── dislike/       (608 images)
│   └── ...
├── val/
│   └── ...
└── test/
    └── ...
annotations.csv         (19,200 entries)

Usage

Loading with Hugging Face Datasets 

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("YOUR_USERNAME/hagrid-subset")

# Access splits
train_data = dataset["train"]
val_data = dataset["validation"]
test_data = dataset["test"]

Loading with Pandas 

import pandas as pd
from PIL import Image

df = pd.read_csv("hf://datasets/YOUR_USERNAME/hagrid-subset/annotations.csv")
train_df = df[df['split'] == 'train']

Citation

If you use this dataset, please cite the original HaGRID dataset:

@inproceedings{hagrid2022,
  title={HaGRID--HAnd Gesture Recognition Image Dataset},
  author={Kapitanov, Alexander and Kvanchiani, Karina and Nagaev, Alexander and Kraynov, Andrey and Makhliarchuk, Maxim},
  booktitle={2022 International Conference on Robotics and Artificial Intelligence (ICRAI)},
  year={2022}
}

Dataset Creation

This subset was created using stratified sampling to maintain train/val/test ratios while ensuring class balance.

Validation Status: ✅ Fully validated with 100% annotation coverage

License

MIT License (inherited from original HaGRID dataset)
Downloads last month
120,359
Number of rows:
154,758
Total file size:
213 GB