Pornography/nudity Cascade training best size and parameters [closed]
Hi everyone, first of all sorry fir my bad English.
i'm trying to train a classifier to detect porno/nude images.
i've collected 50,000 different porno images as positives and 100,000 images as negatives.
all i know is that a training in a scale like this could take 2,3 months !! so i have not any time for testing.
so i need the best parameters like -w -h -numPos - numNeg -numStages and so on...
also pictures i collected(positives and negatives) are extremely vary in resolution , from 320x200 to 1600x1200 !!!
should i resize them first ? if Yes , to what W and H of size ?
I appreciate any help , Thank you.
forget that idea immediately. cascade classifiers are for rigid objects only
Maybe try a deep neural network like the VGG-16 or a more complex one (GoogLeNet), according to your training capacity...
or read this paper and so many papers...
you need a classification approach, not a detector ... you could train a boosted forest, but even then, OpenCV will not work. Go for available deep learning frameworks and transfer learning!