Image Segmentation data set 1: Description. This database contains instances drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. Each instance encodes a 3x3 region. The task is to determine the type of surface of each region. 2: Type. Classification 3: Origin. Real world 4: Instances. 2310 5: Features. 19 6: Classes. 7 7: Missing values. No 8: Header. @relation segment @attribute Region-centroid-col real [1.0, 254.0] @attribute Region-centroid-row real [11.0, 251.0] @attribute Region-pixel-count real [9.0, 10.0] @attribute Short-line-density-5 real [0.0, 0.33333334] @attribute Short-line-density-2 real [0.0, 0.22222222] @attribute Vedge-mean real [0.0, 29.222221] @attribute Vegde-sd real [0.0, 991.7184] @attribute Hedge-mean real [0.0, 44.722225] @attribute Hedge-sd real [-1.5894573E-8, 1386.3292] @attribute Intensity-mean real [0.0, 143.44444] @attribute Rawred-mean real [0.0, 137.11111] @attribute Rawblue-mean real [0.0, 150.88889] @attribute Rawgreen-mean real [0.0, 142.55556] @attribute Exred-mean real [-49.666668, 9.888889] @attribute Exblue-mean real [-12.444445, 82.0] @attribute Exgreen-mean real [-33.88889, 24.666666] @attribute Value-mean real [0.0, 150.88889] @attribute Saturatoin-mean real [0.0, 1.0] @attribute Hue-mean real [-3.0441751, 2.9124804] @attribute Class {1, 2, 3, 4, 5, 6, 7} @inputs Region-centroid-col, Region-centroid-row, Region-pixel-count, Short-line-density-5, Short-line-density-2, Vedge-mean, Vegde-sd, Hedge-mean, Hedge-sd, Intensity-mean, Rawred-mean, Rawblue-mean, Rawgreen-mean, Exred-mean, Exblue-mean, Exgreen-mean, Value-mean, Saturatoin-mean, Hue-mean @outputs Class