Navigating Noisy Data in Deep Learning

This chapter explores the challenges of labeling data for deep learning, emphasizing the importance of clean data and human annotators. It discusses the transition from ImageNet to the Web Vision Challenge, tackling the complexities of using uncurated data directly from the web. Furthermore, it highlights advancements in weakly supervised learning and innovative product recognition technologies that utilize attention mechanisms to enhance accuracy.