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Creating the ImageNet Dataset
This chapter discusses the efforts and challenges faced in creating the ImageNet dataset, which serves as a benchmark for measuring progress in computer vision. It covers the process of collecting and organizing 15 million images from the internet, grouping them into 22,000 visual categories, and the use of Amazon Mechanical Turk to hire workers from around the world to label the images.