Regarding Image classification performance it seems worth noting that ImageNet was labeled by human labelers (and IIRC there was a paper showing that labels are ambiguous or wrong for a substantial minority of the images).
As such, I don’t think we can conclude too much about superhuman AI performance on Image recognition from ImageNet alone (as perfect performance on the benchmark corresponds to perfectly replicating human judgement, admittedly aggregated over multiple humans). To demonstrate superhuman performance, a dataset with known ground truth were humans struggle to correctly label images would seem more appropriate.
Regarding Image classification performance it seems worth noting that ImageNet was labeled by human labelers (and IIRC there was a paper showing that labels are ambiguous or wrong for a substantial minority of the images).
As such, I don’t think we can conclude too much about superhuman AI performance on Image recognition from ImageNet alone (as perfect performance on the benchmark corresponds to perfectly replicating human judgement, admittedly aggregated over multiple humans). To demonstrate superhuman performance, a dataset with known ground truth were humans struggle to correctly label images would seem more appropriate.