| .names file created by George John October 1994 |1. TITLE: | Image Segmentation data | |2. USE IN STATLOG | 2.1 Testing Mode: | 10 Fold Cross-Validation | | 2.2 Special Preprocessing | No | | 2.3 Test Results | Success Rate TIME | Algorithm Train Test Train Test | -------------------------------------------- | Alloc80 96.75 97.000 1248 279 | Ac2 100 96.900 3198 84 | Dipol92 ? 96.900 | BayTree ? 96.700 | NewId 100 96.600 64 69 | C4.5 98.72 96.000 142 93 | Cart 99.51 96.000 139 4 | Cn2 99.67 95.700 114 3 | IndCart 98.81 95.500 248 234 | LVQ ? 95.400 | Smart 96.13 94.800 16362 1 | BackProp ? 94.600 | Cal5 95.82 93.800 259 ? | Kohonen ? 93.300 | Radial ? 93.100 | KNN 100 92.300 5 28 | LogDisc 90.25 89.100 302 8 | Castle 98.92 88.800 377 31 | Discrim 88.75 88.400 74 7 | QuaDisc 84.53 84.300 50 16 | Bayes 73.97 73.500 92 3 | Itrule ? 54.500 | Default ? 10.000 | Cascade ? 0.00 | | |3. SOURCE and PASTE USAGE | 3.1 Source Information | -- Creators: Vision Group, University of Massachusetts | -- Donor: Vision Group (Carla Brodley, brodley@cs.umass.edu) | -- Date: November, 1990 | | 3.2 Past Usage: | None yet published | |4. DATASET DESCRIPTION: | | 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. | | 4.1. Number of Instances: 2310 | | 4.2. Number of Attributes: 19 continuous attributes | | 4.3 Number of Classes: 7 | Classes: | 1 = brickface 330 examples (14.29%) | 2 = sky 330 examples (14.29%) | 3 = foliage 330 examples (14.29%) | 4 = cement 330 examples (14.29%) | 5 = window 330 examples (14.29%) | 6 = path 330 examples (14.29%) | 7 = grass 330 examples (14.29%) | | 4.4. 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. saturation-mean: (see 17) | 19. hue-mean: (see 17) | | | Missing Attribute Values: None | | |NOTE | EIGHT ATTRIBUTES ARE LINEAR COMBINATIONS (OR ARE CONSTANT), AND ARE | BETTER REMOVED FOR THE PURPOSES OF LINEAR, QUADRATIC OR SIMILAR ALGORITHMS. | (NAMELY attributes X3, X10-X16). | | | |CONTACTS | statlog-adm@ncc.up.pt | bob@stams.strathclyde.ac.uk | | |================================================================================ 1,2,3,4,5,6,7. region-centroid-col: continuous. region-centroid-row: continuous. region-pixel-count: continuous. short-line-density-5: continuous. short-line-density-2: continuous. vedge-mean: continuous. vegde-sd: continuous. hedge-mean: continuous. hedge-sd: continuous. intensity-mean: continuous. rawred-mean: continuous. rawblue-mean: continuous. rawgreen-mean: continuous. exred-mean: continuous. exblue-mean: continuous. exgreen-mean: continuous. value-mean: continuous. saturation-mean: continuous. hue-mean: continuous.