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Conventional and data-centric benchmarks

The Batch: Face Recognition for the Masses, Labeling Libel, Documenting Datasets, What Machines Want to See

Benchmarks have been a significant driver of research progress in machine learning. But they've driven progress in model architecture, not approaches to building datasets, which can have a large impact on performance in practical applications.

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