The given line graph indicates the accuracy rates of the ImageNet competition test set between 2010 and 2017, the ImageNet 2012 validation set from 2012 to 2018, and human performance throughout the 8-year period, starting from 2010.
A glance at the chart reveals that while the precision percentage for human performance remained stable during 8 years, those of the ImageNet competition test set and ImageNet 2012 validation set all experienced an upward trend.
From 2012 to 2017, compared to the ImageNet 2012 validation set, the accuracy proportion of the ImageNet competition during the 5-year timescale experienced the fastest growth. It steadily climed from over 70% in 2010 to around 74% over the next two years, before witnessing a dramatic increase to approximately 85% in 2012, from which it gradually went up to about 93% in 2014. The figure for the ImageNet competition test remained lower than that of human performance (with precisely 95% over the entire period) until the middle of 2014, from which it slightly rose to roughly 97% in 2017, when the competition ended.
Turning to the information on the ImageNet 2012 validation set between 2012 and 2018, although both that figure and the data for the ImageNet competition set were almost in the same pattern, the former seemed to be lower than the latter. The former moderately rose from slightly over 80% in 2012 to almost 95% in late 2014, which was as same as that of humans. However, from the following year, it witnessed a slight increase to reach the proportion of approximately 96% in the last year of the 6-year period.