AgeGenderDeepLearning icon indicating copy to clipboard operation
AgeGenderDeepLearning copied to clipboard

Human Vs Animal problem

Open macd2 opened this issue 6 years ago • 5 comments

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

macd2 avatar Feb 28 '19 12:02 macd2

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

GilLevi avatar Mar 02 '19 13:03 GilLevi

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

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

macd2 avatar Mar 04 '19 09:03 macd2

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.

GilLevi avatar Mar 09 '19 17:03 GilLevi

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

macd2 avatar Mar 09 '19 18:03 macd2

Not in the near future.

GilLevi avatar Mar 09 '19 23:03 GilLevi