Data Labeling Challenges

Johannes discusses the complexities of obtaining high-quality data for machine learning models, emphasizing the importance of proper data labeling and the challenges faced when dealing with intricate image segmentation tasks. Lukas and Johannes delve into the strategies used to ensure accurate data labeling, highlighting the significance of a well-structured labeling process for successful model deployment.