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Tips for best trainings results - dataset size #12741

Answered by jmarintur
martingbl asked this question in Q&A
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Hi @TheTaka96, the recommended size is for the whole dataset. The dataset includes training, validation and test, hence, you should split it into three partitions. Note the importance of both, having at least 1,500 images per class and having minimum of 10,000 instances (labeled objects) per class.

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