On Rendering Synthetic Images for Training an Object Detector.

•We propose a novel approach to generating synthetic training data.•We introduce detector-specific similarity measures between real and synthetic images.•We show that the choice of the similarity measure relies on the features used by the detector.•We have tested our approach on different object detection tasks.