Earlier quoted context omitted.
Average humans have a higher error rate.
If you classify an image 30 times per second, then 0.001% is quite a large error rate.
To keep the maths easy, that’s 18 wrong frames/10min. So roughly 2/3 of a second.
If these images are spread out, maybe it’s fine. If it’s failing on certain types of images, then those images could be grouped and 2/3rds of a second is more than enough time for a serious failure.