---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': call
          '1': dislike
          '2': fist
          '3': four
          '4': like
          '5': mute
          '6': no_gesture
          '7': ok
          '8': one
          '9': palm
          '10': peace
          '11': peace_inverted
          '12': rock
          '13': stop
          '14': stop_inverted
          '15': three
          '16': three2
          '17': two_up
          '18': two_up_inverted
  splits:
  - name: train
    num_bytes: 3805782529
    num_examples: 153735
  download_size: 3808743954
  dataset_size: 3805782529
license: cc-by-sa-4.0
language:
- en
pretty_name: HaGRID Classification 512p no_gesture 150k
size_categories:
- 100K<n<1M
---
# Dataset Card for "hagrid-classification-512p-no-gesture-150k"

This dataset contains 153,735 training images from [HaGRID](https://github.com/hukenovs/hagrid) (HAnd Gesture Recognition Image Dataset) modified for image classification instead of object detection. The original dataset is 716GB. 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:
*  [Alexander Kapitanov](https://www.linkedin.com/in/hukenovs)
* [Andrey Makhlyarchuk](https://www.linkedin.com/in/makhliarchuk)
* [Karina Kvanchiani](https://www.linkedin.com/in/kvanchiani)

### Original Dataset Links
* [GitHub](https://github.com/hukenovs/hagrid)
* [Kaggle Datasets Page](https://www.kaggle.com/datasets/kapitanov/hagrid)