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Kutluhan Aktar
/
IoT AI-assisted Deep Algae Bloom Detector
Public
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2m 4s
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This dataset format uses bounding box labeling, used for object detection.
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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
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