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Pietro Poluzzi
/
voice-detection-arduino-rp-2040
Public
Crop sample ''
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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
arduino
83% / 17% (4m 24s / 54s)
noise
80% / 20% (13m 1s / 3m 16s)
unknown
80% / 20% (9m 48s / 2m 26s)
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