% 1. Title: Image Segmentation data% % 2. Source Information%    -- Creators: Vision Group, University of Massachusetts%    -- Donor: Vision Group (Carla Brodley, brodley@cs.umass.edu)%    -- Date: November, 1990%  % 3. Past Usage: None yet published% % 4. Relevant Information:% %    The instances were drawn randomly from a database of 7 outdoor %    images.  The images were handsegmented to create a classification%    for every pixel.  % %    Each instance is a 3x3 region.% % 5. Number of Instances: Training data: 210  Test data: 2100% % 6. Number of Attributes: 19 continuous attributes% % 7. Attribute Information:% %     1.  region-centroid-col:  the column of the center pixel of the region.%     2.  region-centroid-row:  the row of the center pixel of the region.%     3.  region-pixel-count:  the number of pixels in a region = 9.%     4.  short-line-density-5:  the results of a line extractoin algorithm that %          counts how many lines of length 5 (any orientation) with%          low contrast, less than or equal to 5, go through the region.%     5.  short-line-density-2:  same as short-line-density-5 but counts lines%          of high contrast, greater than 5.%     6.  vedge-mean:  measure the contrast of horizontally%          adjacent pixels in the region.  There are 6, the mean and %          standard deviation are given.  This attribute is used as%         a vertical edge detector.%     7.  vegde-sd:  (see 6)%     8.  hedge-mean:  measures the contrast of vertically adjacent%           pixels. Used for horizontal line detection. %     9.  hedge-sd: (see 8).%     10. intensity-mean:  the average over the region of (R + G + B)/3%     11. rawred-mean: the average over the region of the R value.%     12. rawblue-mean: the average over the region of the B value.%     13. rawgreen-mean: the average over the region of the G value.%     14. exred-mean: measure the excess red:  (2R - (G + B))%     15. exblue-mean: measure the excess blue:  (2B - (G + R))%     16. exgreen-mean: measure the excess green:  (2G - (R + B))%     17. value-mean:  3-d nonlinear transformation%          of RGB. (Algorithm can be found in Foley and VanDam, Fundamentals%          of Interactive Computer Graphics)%     18. saturatoin-mean:  (see 17)%     19. hue-mean:  (see 17)% % 8. Missing Attribute Values: None% % 9. Class Distribution: % %    Classes:  brickface, sky, foliage, cement, window, path, grass.% %    30 instances per class for training data.%    300 instances per class for test data.% %%%%% Relabeled values in attribute class%    From: 1                       To: brickface           %    From: 2                       To: sky                 %    From: 3                       To: foliage             %    From: 4                       To: cement              %    From: 5                       To: window              %    From: 6                       To: path                %    From: 7                       To: grass               %@relation segment@attribute region-centroid-col real@attribute region-centroid-row real@attribute region-pixel-count real@attribute short-line-density-5 real@attribute short-line-density-2 real@attribute vedge-mean real@attribute vegde-sd real@attribute hedge-mean real@attribute hedge-sd real@attribute intensity-mean real@attribute rawred-mean real@attribute rawblue-mean real@attribute rawgreen-mean real@attribute exred-mean real@attribute exblue-mean real@attribute exgreen-mean real@attribute value-mean real@attribute saturation-mean real@attribute hue-mean real@attribute class { brickface, sky, foliage, cement, window, path, grass}@data218,178,9,0.111111,0,0.833333,0.547722,1.11111,0.544331,59.6296,52.4444,75.2222,51.2222,-21.5556,46.7778,-25.2222,75.2222,0.318996,-2.04055,path113,130,9,0,0,0.277778,0.250924,0.333333,0.365148,0.888889,0,2.55556,0.111111,-2.66667,5,-2.33333,2.55556,1,-2.12325,foliage202,41,9,0,0,0.944448,0.772202,1.11111,1.0256,123.037,111.889,139.778,117.444,-33.4444,50.2222,-16.7778,139.778,0.199347,-2.29992,sky32,173,9,0,0,1.72222,1.78159,9,6.74949,43.5926,39.5556,52.8889,38.3333,-12.1111,27.8889,-15.7778,52.8889,0.266914,-1.99886,path61,197,9,0,0,1.44444,1.51535,2.61111,1.92546,49.5926,44.2222,61.5556,43,-16.1111,35.8889,-19.7778,61.5556,0.302925,-2.02227,path149,185,9,0,0,1.55556,1.06805,3.05556,1.92546,49.3333,45.3333,59.5556,43.1111,-12,30.6667,-18.6667,59.5556,0.275889,-1.95277,path197,229,9,0,0,1.38889,1.57407,1.16667,0.566666,17.7407,14.1111,17.8889,21.2222,-10.8889,0.444444,10.4444,21.2222,0.335717,2.6516,grass29,111,9,0,0,0.388889,0.240741,0.611111,0.151852,5.40741,6.88889,6.33333,3,4.44444,2.77778,-7.22222,6.88889,0.564153,-0.897859,brickface1,81,9,0,0,12.1667,267.456,9.22222,205.363,21.3333,14,30.5556,19.4444,-22,27.6667,-5.66667,30.5556,0.595282,-2.43841,foliage69,85,9,0.111111,0,3.11111,8.20741,3.94444,9.44074,21.4444,20.4444,28.1111,15.7778,-3,20,-17,28.1111,0.437404,-1.65988,brickface152,83,9,0,0,4.44444,1.32777,0.944444,0.680414,26.5185,23.3333,33.2222,23,-9.55556,20.1111,-10.5556,33.2222,0.307415,-2.06324,cement248,153,9,0,0,0.277778,0.062963,0.111111,0.0296296,0.37037,0,1.11111,0,-1.11111,2.22222,-1.11111,1.11111,0.888889,-2.0944,window137,141,9,0,0,0.0555556,0.136083,0.0555556,0.136083,0.037037,0,0.111111,0,-0.111111,0.222222,-0.111111,0.111111,0.111111,-2.0944,window86,197,9,0.111111,0.111111,1.61111,1.45169,1.27778,1.10386,63.2222,56.2222,77.7778,55.6667,-21,43.6667,-22.6667,77.7778,0.285333,-2.06802,path220,220,9,0.111111,0,2.27778,1.12963,2.27778,4.15185,6.44444,5.66667,5.33333,8.33333,-2.33333,-3.33333,5.66667,8.33333,0.427354,1.98437,grass207,115,9,0,0,1.05556,0.32963,0.166667,0.0333333,1.22222,0.444444,2.88889,0.333333,-2.33333,5,-2.66667,2.88889,0.933333,-2.06554,window6,51,9,0,0,1.66667,2,1.61111,2.10741,19.5926,18.7778,25.6667,14.3333,-2.44444,18.2222,-15.7778,25.6667,0.442861,-1.68129,brickface203,182,9,0,0,3.72222,2.57696,3.61111,1.70511,54.9259,49.4444,68.1111,47.2222,-16.4444,39.5556,-23.1111,68.1111,0.306722,-1.98035,path