Hybrid Labeling in Offline Perception: Combining Efficiency and Precision
Automatic vs. manual labeling in offline perception: a balancing act for more precise results In the world of offline perception, data plays a crucial role. The quality of perception algorithms depends heavily on how accurately and comprehensively the training data is labeled. Although automatic labeling is often considered a faster [...]








