
This dataset contains 127,331 images from [HaGRID](https://github.com/hukenovs/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:
*  [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)

### Object Classes
```text
['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.
<div style="overflow-x: auto; overflow-y: auto">
<table>
  <thead>
    <tr style="text-align: right">
      <th></th>
      <th>00005c9c-3548-4a8f-9d0b-2dd4aff37fc9</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>bboxes</th>
      <td>[[0.23925175, 0.28595301, 0.25055143, 0.20777627]]</td>
    </tr>
    <tr>
      <th>labels</th>
      <td>[call]</td>
    </tr>
    <tr>
      <th>leading_hand</th>
      <td>right</td>
    </tr>
    <tr>
      <th>leading_conf</th>
      <td>1</td>
    </tr>
    <tr>
      <th>user_id</th>
      <td>5a389ffe1bed6660a59f4586c7d8fe2770785e5bf79b09334aa951f6f119c024</td>
    </tr>
  </tbody>
</table>
</div>

task_categories:object-detection size_categories:100K<n<1M language:en license:cc-by-sa-4.0 region:us
{"language": ["en"], "license": "cc-by-sa-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["object-detection"], "pretty_name": "HaGRID Sample 120k 384p"}
TAGS
#task_categories-object-detection #size_categories-100K<n<1M #language-English #license-cc-by-sa-4.0 #region-us 

This dataset contains 127,331 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:


* Alexander Kapitanov
* Andrey Makhlyarchuk
* Karina Kvanchiani


### Original Dataset Links


* GitHub
* Kaggle Datasets Page


### Object Classes


### 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.






### Original Authors:


* Alexander Kapitanov
* Andrey Makhlyarchuk
* Karina Kvanchiani ### Original Dataset Links


* GitHub
* Kaggle Datasets Page ### Object Classes ### 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.
TAGS
#task_categories-object-detection #size_categories-100K<n<1M #language-English #license-cc-by-sa-4.0 #region-us 
 ### Original Authors:


* Alexander Kapitanov
* Andrey Makhlyarchuk
* Karina Kvanchiani ### Original Dataset Links


* GitHub
* Kaggle Datasets Page ### Object Classes ### 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.
passage: TAGS
#task_categories-object-detection #size_categories-100K<n<1M #language-English #license-cc-by-sa-4.0 #region-us 
### Original Authors:


* Alexander Kapitanov
* Andrey Makhlyarchuk
* Karina Kvanchiani### Original Dataset Links


* GitHub
* Kaggle Datasets Page### Object Classes### 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.