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Wamiq Raza
/
Hand_Gesture_Recognition_using_OpenMV-Wamiq_Raza
Public
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This dataset format uses bounding box labeling, used for object detection.
This dataset format uses one label per sample. You may wish to change your project
labeling method to 'one label per data item' in the project dashboard.
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Dataset train / test split ratio
Training data is used to train your model, and testing data is used to test your model's accuracy after training.
We recommend an approximate 80/20 train/test split ratio for your data for every class (or label) in your dataset, although especially large datasets may require less testing data.
Suggested train / test split
80% / 20%
Labels in your dataset
horns
88% / 12% (29 / 4)
index
80% / 20% (32 / 8)
superb
79% / 21% (15 / 4)
two
81% / 19% (26 / 6)
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