机器学习_The Image-seg dataset(图像分割数据集).pdfVIP

The Image-seg dataset( 图像分割数据集) 数据摘要： Predict the object class of a 3x3 patch from an image of an outdoor scence. From the UCI repository of machine learning databases. The information is a replica of the notes for the segmentation dataset from the UCI repository. 中文关键词： 图像,数据集,分割,机器学习, 英文关键词： Image,dataset,Segmentation,Machine Learning, 数据格式： TEXT 数据用途： Information Processing Classification 数据详细介绍： The Image-seg dataset The information is a replica of the notes for the segmentation dataset from the UCI repository. 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: region-centroid-col: the column of the center pixel of the region. region-centroid-row: the row of the center pixel of the region. region-pixel-count: the number of pixels in a region = 9. short-line-density-5: the results of a line extraction algorithm that counts how many lines of length 5 (any orientation) with low contrast, less than or equal to 5, go through the region. short-line-density-2: same as short-line-density-5 but counts lines of high contrast, greater than 5. 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. vegde-sd: (see 6) hedge-mean: measures the contrast