Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-12-16 000000m 15:39:23 - Overview

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Name (Institute + Shorttitle)UC Merced Land Use Dataset 
Description (include details on usage, files and paper references)The UC Mercet dataset is a 21 class land use image dataset meant for research purposes. There are 100 images for each of the following classes:

agricultural
airplane
baseballdiamond
beach
buildings
chaparral
denseresidential
forest
freeway
golfcourse
harbor
intersection
mediumresidential
mobilehomepark
overpass
parkinglot
river
runway
sparseresidential
storagetanks
tenniscourt
Each image measures 256x256 pixels.

The images were manually extracted from large images from the USGS National Map Urban Area Imagery collection for various urban areas around the country. The pixel resolution of this public domain imagery is 1 foot.

Please cite the following paper when publishing results that use this dataset:

Yi Yang and Shawn Newsam, Bag-Of-Visual-Words and Spatial Extensions for Land-Use Classification, ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS), 2010.

Shawn D. Newsam
Assistant Professor and Founding Faculty
Electrical Engineering & Computer Science
University of California, Merced
Email: snewsam@ucmerced.edu
Web: http://faculty.ucmerced.edu/snewsam

This material is based upon work supported by the National Science Foundation under Grant No. 0917069. 
URL Linkhttp://weegee.vision.ucmerced.edu/datasets/landuse.html 
Files (#)2100 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)semantic segmentation classification aerial land building urban 
Last Changed2017-12-16 
Turing (2.12+3.25=?) :-)