Structural Segmentation of Visual Data

For understanding visual scenery, we construct deep-learning based AI algorithms for semantic segmentation of visual data. Segmentation here involves labeling of road scenes as “road”, “cars”, “sidewalk”, “pedestrian”, “bikes”, … which works by classifying all image pixels into the given labels/classes.
This figure consists of some example images from ITU Campus which are collected and processed by ITU Vision Lab. All of the examples are presented with their segmented versions.