Guide to Data Augmentation: Techniques, Examples & Benefits

Data augmentation is now crucial for enhancing AI performance, improving model accuracy, and ensuring privacy compliance, particularly when real-world data is scarce. The synthetic data generation market is forecast to surge from USD 351.2M in 2023 to USD 2.34B by 2030, highlighting its rapid adoption.

In this blog, discover:

• Why data augmentation matters

• Key techniques for image, text, audio & more

• Real-world applications + limitations

• Best practices for future-ready AI

Learn top techniques to expand datasets, cut overfitting, and boost machine learning accuracy: https://www.hitechbpo.com/...