This question is to anyone familiar with object (specifically vehicle) detection research.
I'm new to computer vision and am confused about training object detection classifiers. Specifically, the objective is vehicle detection. I've been reading through vehicle detection literature for weeks now, but I'm still a bit confused.
What I'm confused about is evaluation. For the evaluation of a system, the research community usually has a benchmarked dataset which can be used for testing data. But the performance of a system also depends very much on the data that was used to train it, no?
So aren't there any training datasets out there, too? That would make for far more uniform method comparisons. I seem to keep finding papers using benchmarked datasets for evaluation, but making no mention of where they got their training data from.