Date: Tuesday, May 17 (Main Conference Day 1)
Start Time: 4:50 pm
End Time: 5:55 pm
In this presentation, we explore the data lifecycle for deep learning with special emphasis on data curation and how to ensure quality annotations. For improving data curation, we will examine techniques like active learning and focus on how we choose which data to send for annotation. We’ll also discuss how to select an annotation partner and how to efficiently do annotation in-house. And we will detail how to frame good annotation instructions for different annotation tasks like lidar annotation, semantic segmentation and sequence annotations. In addition, we explain common problems seen in the curation and annotation process and how to overcome them.
