So by the time this year’s competition comes out it should be down to 3%!
I’m not sure ImageNet is of sufficiently high quality that a 3% error rate is meaningful. No point in overfitting noise in the supposed right labels. I think the take-away is that image recognition has gotten really good and now we need a new benchmark/corpus, possibly focused on the special-cases where humans still seem better.
I’m not sure ImageNet is of sufficiently high quality that a 3% error rate is meaningful. No point in overfitting noise in the supposed right labels. I think the take-away is that image recognition has gotten really good and now we need a new benchmark/corpus, possibly focused on the special-cases where humans still seem better.