So Microsoft have claimed to have produced an object classification system that has double the accuracy with 30 times fewer machines (although it may have taken longer to train) than other state-of-the-art systems. I presume they are basing this off Google and Stanford’s attempt which was published here http://arxiv.org/pdf/1112.6209.pdf. Google’s implementation achieved “15.8% accuracy in recognizing 22,000 object categories from ImageNet”. Which means Microsoft’s attempt should achieve at-least 31.6% as they have used the same dataset. We’l have to wait for the publication of their paper which is in review to see the real results and find out if it is more than just hyperbole.
Full article here: