{
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    "description": "**Author**: University of Massachusetts Vision Group, Carla Brodley  \r\n**Source**: [UCI](http:\/\/archive.ics.uci.edu\/ml\/datasets\/image+segmentation) - 1990  \r\n**Please cite**: [UCI](http:\/\/archive.ics.uci.edu\/ml\/citation_policy.html)  \r\n\r\n**Image Segmentation Data Set**\r\nThe instances were drawn randomly from a database of 7 outdoor images. The images were hand-segmented to create a classification for every pixel. Each instance is a 3x3 region.\r\n \r\n### Attribute Information  \r\n\r\n1.  region-centroid-col:  the column of the center pixel of the region.\r\n2.  region-centroid-row:  the row of the center pixel of the region.\r\n3.  region-pixel-count:  the number of pixels in a region = 9.\r\n4.  short-line-density-5:  the results of a line extractoin algorithm that \r\n          counts how many lines of length 5 (any orientation) with\r\n          low contrast, less than or equal to 5, go through the region.\r\n5.  short-line-density-2:  same as short-line-density-5 but counts lines\r\n          of high contrast, greater than 5.\r\n6.  vedge-mean:  measure the contrast of horizontally\r\n          adjacent pixels in the region.  There are 6, the mean and \r\n          standard deviation are given.  This attribute is used as\r\n         a vertical edge detector.\r\n7.  vegde-sd:  (see 6)\r\n8.  hedge-mean:  measures the contrast of vertically adjacent\r\n           pixels. Used for horizontal line detection. \r\n9.  hedge-sd: (see 8).\r\n10. intensity-mean:  the average over the region of (R + G + B)\/3\r\n11. rawred-mean: the average over the region of the R value.\r\n12. rawblue-mean: the average over the region of the B value.\r\n13. rawgreen-mean: the average over the region of the G value.\r\n14. exred-mean: measure the excess red:  (2R - (G + B))\r\n15. exblue-mean: measure the excess blue:  (2B - (G + R))\r\n16. exgreen-mean: measure the excess green:  (2G - (R + B))\r\n17. value-mean:  3-d nonlinear transformation\r\n          of RGB. (Algorithm can be found in Foley and VanDam, Fundamentals\r\n          of Interactive Computer Graphics)\r\n18. saturatoin-mean:  (see 17)\r\n19. hue-mean:  (see 17)\r\n",
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    "uploader": "Jan van Rijn",
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    "date": "2014-04-06 23:22:10",
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            "The instances were drawn randomly from a database of 7 outdoor images. The images were hand-segmented to create a classification for every pixel. Each instance is a 3x3 region. ### 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 l "
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