UC Merced Land Use Dataset
Yi Yang and Shawn Newsam

UCMerced_LandUse.zip 332.47MB
Type: Dataset
Tags:

Bibtex:
@article{,
title= {UC Merced Land Use Dataset},
keywords= {},
author= {Yi Yang and Shawn Newsam},
abstract= {This 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.

![](https://i.imgur.com/dT8q6Qi.png)


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.},
terms= {},
license= {},
superseded= {},
url= {http://vision.ucmerced.edu/datasets/landuse.html}
}

Hosted by users:

Send Feedback Start
   0.000003
DB Connect
   0.000368
Lookup hash in DB
   0.000587
Get torrent details
   0.000674
Get torrent details, finished
   0.000638
Get authors
   0.000055
Parse bibtex
   0.000491
Write header
   0.000557
get stars
   0.000438
home tab
   0.000513
render right panel
   0.000008
render ads
   0.000029
fetch current hosters
   0.000753
Done