gender detection, simple question
I understand the tutorials, but i don't quite understand how to make it work for me. I could make a simple program, put names in a database, and give them a label 1 or 2, for male or female.
- Should i put in my own recognized/trained people, or use a large dataset.
- If the first, it feels a bit like cheating, as i am basically labeling that person with a gender already. I'm sure it will tell me i am a male if i labeled it as such and there are enough images of me.
I guess i dont understand the difference between just entering a hardcoded entry of "male" or "female" and actually do prediction.
Hope this makes sense :-)
atv
The cheating can be ignored, because you should always use different training and validation data and thus, this means you will never provide the training label for a testing sample.
Hey Steven, thanks for your comment. So you mean i should always use a outside database like Yale or similar for facial expression, and never my own csv (of people i have trained to recognize).
That would make sense.
Yep because you are doing it for genders and thus want a large set to diverse over individuals.
Gotcha, thanks Steven