A more charitable interpretation would be that classifying gender is hard. It is so hard that humans have trouble classifying gender purely with sight. If humans have so much trouble, how can we teach machines?
Classifying gender is easy. Humans do it correctly with near-perfect accuracy, typically failing only on edge cases. Furthermore, most cultures already bake in signaling of gender in various forms (Behavior, attire, etc).
Humans don't have much trouble, except against adversarial/outlier examples.
First, please hold yourself to the same standard that you're holding me to. I see no citations to your (paraphrased) "identification of gender is exceedingly hard for humans". That goes heavily against most people's intuition and thus carries a higher burden of proof.
Now, 0.6% of Americans identify as transgender [http://williamsinstitute.law.ucla.edu/wp-content/uploads/How...]. That means using sex prediction alone, we can achieve a theoretical maximum of 99.4% accuracy here. This ignores the fact that transgenders often signal their gender via behavior or clothing, or attempt to obtain the physical characteristics of their assumed genders as well, both of which could further improve performance.
I asked for your help. Why did you see fit to get rude? What the hell is wrong with society that people like you think this is okay? Toxic responses like this ruin tech because instead of teaching you attack.
Loads of research suggests 7 year olds are about 70% accurate at predicting gender based off of pictures. It takes a couple of decades to get that into ranges you’ve cited. That doesn’t sound easy. If it is, I’d love to read about it.
Humans don't have much trouble, except against adversarial/outlier examples.