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8min chapter
Teaching Computers to See
What's Your Problem?
Building the ImageNet Database
This chapter discusses the process of manually downloading, cleaning, and labeling millions of images to build the ImageNet database. It covers the use of Amazon Mechanical Turk to find workers, the length of time it took to complete the database, and its importance in training computer vision models.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode