Jul 12, 2020
We perform an in-depth evaluation of human accuracy on the ImageNet dataset. First, three expert labelers re-annotated 30,000 images from the original ImageNet validation set and the ImageNetV2 replication experiment with multi-label annotations to enable a semantically coherent accuracy measurement. Then we evaluated five trained humans on both datasets. The median of the five labelers outperforms the best publicly released ImageNet model by 1.5
The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.
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