古风图片女The Image-g datat(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 databas. The information is a replica of the notes for the gmentation datat from the UCI repository.
中文关键词：
图像，数据集，分割，机器学习,
议事规则英文关键词：
Image,datat,Segmentation,Machine Learning,
数据格式：
TEXT
数据用途：
Information Processing
Classification普通话的重要性
数据详细介绍：
The Image-g datat
The information is a replica of the notes for the gmentation datat from the UCI repository.
1. Title: Image Segmentation data
2. Source Information
Creators: Vision Group, University of Massachutts
Donor: Vision Group (Carla Brodley, brodley@cs.umass.edu)
Date: November, 1990
3. Past Usage: None yet published反三角
4. Relevant Information:
The instances were drawn randomly from a databa of 7 outdoor images. The
images were handgmented 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 ud as a vertical edge detector.
vegde-sd: (e 6)
hedge-mean: measures the contrast of vertically adjacent pixels. Ud for horizontal line detection.
好久不见英语hedge-sd: (e 8).
intensity-mean: the average over the region of (R + G + B)/3
rawred-mean: the average over the region of the R value.
rawblue-mean: the average over the region of the B value.
rawgreen-mean: the average over the region of the G value.
体积功exred-mean: measure the excess red: (2R - (G + B))
exblue-mean: measure the excess blue: (2B - (G + R))
假如我变成了exgreen-mean: measure the excess green: (2G - (R + B))端午粽教学设计
value-mean: 3-d nonlinear transformation of RGB. (Algorithm can be found in Foley and VanDam, Fundamentals of Interactive Computer Graphics)
saturation-mean: (e 17)
hue-mean: (e 17)
8. Missing Attribute Values: None
9. Class Distribution:
Class: brickface, sky, foliage, cement, window, path, grass.
30 instances per class for training data.
300 instances per class for test data.
10. Modifications for Delve
The data and test files were combined and then stratified to ensure equal
reprentation of the output class in each of the Delve task-instance training ts.
Attribute 3 (region-pixel-count) was deleted since it is a constant for this datat. Last Updated 11 October 1996
Comments and questions to: o.edu
数据预览：
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