The performance of pattern recognition systems heavily depends on the quality of the data. High-quality, well-annotated datasets are essential for training algorithms to achieve high accuracy. Inadequate or noisy data can lead to poor model performance, making it difficult to derive meaningful insights from nanomaterial studies.
