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End of preview.
This dataset contains 254,661 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:
Original Dataset Links
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-positionandwidthvalues by the image width and multiplytop-left-Y-positionandheightvalues by the image height.00005c9c-3548-4a8f-9d0b-2dd4aff37fc9 bboxes [[0.23925175, 0.28595301, 0.25055143, 0.20777627]] labels [call] leading_hand right leading_conf 1 user_id 5a389ffe1bed6660a59f4586c7d8fe2770785e5bf79b09334aa951f6f119c024
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