I should mention that the accuracy is lower than the methods mentioned below.
It's based on this paper https://arxiv.org/pdf/1512.04150.pdf The approach is different than the Faster R-CNN etc mentioned below as it is not fully supervised, i.e. the position of the objected is not in the training…
I took about a day on one aws p2.xlarge (one Tesla K80) starting from a pre-trained inception model (trained and opened sourced by Googled on ImageNet data).
I should mention that the accuracy is lower than the methods mentioned below.
It's based on this paper https://arxiv.org/pdf/1512.04150.pdf The approach is different than the Faster R-CNN etc mentioned below as it is not fully supervised, i.e. the position of the objected is not in the training…
I took about a day on one aws p2.xlarge (one Tesla K80) starting from a pre-trained inception model (trained and opened sourced by Googled on ImageNet data).