Dataset Generation

The goal of Dataset Generation is to enhance the training effectiveness of target applications, such as autonomous driving systems, by generating datasets that include diversity and key elements. This task aims to overcome the issues of traditional methods where datasets are costly and lack comprehensive coverage, ensuring that the datasets can encompass rare but important scenarios, thereby reducing risks during testing and real-world application.