cj-mills/hagrid-sample-120k-384p

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

['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>leadinghand</th> <td>right</td> </tr> <tr> <th>leadingconf</th> <td>1</td> </tr> <tr> <th>user_id</th> <td>5a389ffe1bed6660a59f4586c7d8fe2770785e5bf79b09334aa951f6f119c024</td> </tr> </tbody> </table> </div>