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1 Always better improving the dataset with a lot of generated samples. Otherwise you will 100% overfit the target.
2 -
3 Look at 1.
4 100 x 100 is a huge size for a cascade, main problems: noise / ram allocation. Try models up to 50x50 pixel.
5 take a look here pls: http://www.vision-ary.net/2015/03/largest-boosted-cascades-opencv-lbp-haar-hog/
