This object-recognition dataset stumped the world’s best computer vision models

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Computer vision models have learned to identify objects in photos so accurately that some can outperform humans on some datasets. But when those same object detectors are turned loose in the real world, their performance noticeably drops, creating reliability concerns for self-driving cars and other safety-critical systems that use machine vision.

http://news.mit.edu/2019/object-recognition-dataset-stumped-worlds-best-computer-vision-models-1210