GilLevi/AgeGenderDeepLearning

Human Vs Animal problem

macd2 opened this issue · 5 comments

macd2 commented

Hey There,
first of all thanks for this great examples.
While testing i found some really bad false positive it looks like the net can not distinguish between a human and an animal.

Here are 2 examples:

  1. https://i.imgur.com/6FaLr7w.jpg
  2. https://i.imgur.com/ImVjWsc.jpg

What is the best way to go about this?
Or you plan to release any updated models in the near future?
thanks

Hi,

Thank you for your interest in our work.

The common pipeline for using the network is applying face detection on the image and feeding the detected network (ideally, after alignment) to the network.

Best,
Gil

macd2 commented

Hey Gil, thanks for the replay.
I'm not sure if i understand...

So what do you suggest doing in the above described case?

In the above case, I suggest running a (human) face detector and run the network on the faces it detected in the image. Since it won't probably detect the dog faces, you won't run the network on that.

macd2 commented

@GilLevi ok thanks for that! are you planning to release any updates on this network at all?

Not in the near future.