Google team rises to 2014 visual recognition challenge
Google's Christian Szegedy, software engineer, blogged Friday about GoogleNet's entry into a visual recognition challenge, the results of which indicate improvements in the state of machine vision technology. The Large Scale Visual Recognition Challenge is the largest academic challenge in computer vision, held annually to test state-of-the-art technology in image understanding—in recognizing objects in images and locating where they are. The competition tracks are classification, classification with localization, and detection. Szegedy detailed the tracks: "The classification track measures an algorithm's ability to assign correct labels to an image. The classification with localization track is designed to assess how well an algorithm models both the labels of an image and the location of the underlying objects. Finally, the detection challenge is similar, but uses much stricter evaluation criteria."