How Using Synthetic Data Effectively at Scale Bridges Class Performance Gaps in ADAS and AD Development
This blog post delves into how synthetic data, when used effectively at scale, not only bridges the performance gap between rare and common class scenarios but also presents a scalable, efficient solution that complements real-world data with diverse edge cases, thereby enhancing the overall performance of ML models in the domain of ADAS and AD development.
February 16, 2024
Technology