The 2022 AI Index
The Data Exchange with Ben Lorica
00:00
Bench Marks Are Important to Computer Vision Systems
A paper analyzed an 16 hundred bench marks that have been developed for a i in the last few years. It found 33 % of post bench marks had three or fewer data points, as in three or fewer times they'd actually be used and tested. So we should set a level that 33 percent of bench marks are useless, right? Maybe 66 er% have more than three, three sort of data points on them. Some bench marks bont do actually matter.
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