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.