Navigating Data Quality Challenges

This chapter explores the complexities of data integrity in training models, addressing issues like corrupted images and data ordering. The discussion highlights the significance of dataset quality in robotic learning success rates, along with strategies for optimizing data filtering to improve performance metrics.