| image (image) | label (class label) |
|---|---|
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
 | 0
(call) |
This dataset contains 153,735 training images from 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:
Original Dataset Links
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