Hi all
I'm trying to train a classifier to detect cars shadows (rear view) and I am facing difficulties doing that. I don't know exactly what is needed to do so as I'm using around 280 positive samples with 4000 negatives converted to gray, cropped exactly to the object (160x45).
My target dimensions: -w 60 -h 17
There is no very good results. Do I need more samples? Is it required to do histogram equalization (before or after)? Is it mandotary to use the annotation tool (I'm using cropped images so my pos.txt having things like pos/pos2.png 1 0 0 160 45)?
Appreciate any help really
Thanks
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