Shekharkhade1215 Jul, 2022Computer & Internet
To prevent overfitting and subpar model performance, artificial neural networks heavily rely on a large amount of training data. Unfortunately, there is often little data available in situations like real-world applications, and collecting enough training data is difficult and expensive. In order to address the issue of insufficient data in computer vision, this article focuses on data augmentation. Find out how expanding tiny, constrained datasets might help your AI computer vision models perform better.
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