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README.md
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---
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license: cc-by-sa-4.0
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---
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---
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license: cc-by-sa-4.0
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task_categories:
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- object-detection
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language:
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- en
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size_categories:
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- 100K<n<1M
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pretty_name: HaGRID Sample 500k 384p
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---
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This dataset contains 509,323 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.
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### Original Authors:
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* [Alexander Kapitanov](https://www.linkedin.com/in/hukenovs)
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* [Andrey Makhlyarchuk](https://www.linkedin.com/in/makhliarchuk)
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* [Karina Kvanchiani](https://www.linkedin.com/in/kvanchiani)
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### Original Dataset Links
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* [GitHub](https://github.com/hukenovs/hagrid)
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* [Kaggle Datasets Page](https://www.kaggle.com/datasets/kapitanov/hagrid)
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### Object Classes
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```text
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['call',
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'no_gesture',
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'dislike',
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'fist',
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'four',
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'like',
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'mute',
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'ok',
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'one',
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'palm',
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'peace',
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'peace_inverted',
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'rock',
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'stop',
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'stop_inverted',
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'three',
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'three2',
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'two_up',
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'two_up_inverted']
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```
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### Annotations
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* `bboxes`: `[top-left-X-position, top-left-Y-position, width, height]`
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* 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.
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<div style="overflow-x: auto; overflow-y: auto">
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<table>
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<thead>
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<tr style="text-align: right">
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<th></th>
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<th>00005c9c-3548-4a8f-9d0b-2dd4aff37fc9</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<th>bboxes</th>
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<td>[[0.23925175, 0.28595301, 0.25055143, 0.20777627]]</td>
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</tr>
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<tr>
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<th>labels</th>
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<td>[call]</td>
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</tr>
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<tr>
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<th>leading_hand</th>
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<td>right</td>
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</tr>
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<tr>
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<th>leading_conf</th>
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<td>1</td>
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</tr>
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<tr>
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<th>user_id</th>
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<td>5a389ffe1bed6660a59f4586c7d8fe2770785e5bf79b09334aa951f6f119c024</td>
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</tr>
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</tbody>
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</table>
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</div>
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