I am training a classifier of my own, specifically for detecting body arms. According to the training process I have to provide positive samples and negative samples, wich will be used in the different stages of the cascade classifier. As Mathworks says here, there is a tradeoff between having a higher false positive rate(wich I think is good) and the training set size you have, so, if I want a high false positive rate, then I have to provide a lot of positive and negative samples. I don't expect to provide picture by picture and selecting ROIs(Region of Interest) hundreds of times manually, so my questions are:
Is there any good repository of sample images for CV and specifically for body parts(I need arms specifically) different from this.?
Am I doing the right thing, or creating samples of my own is a better way to do this?
PD: Remember: I am interested in having a high false positive rate