task_categories:image-classification license:cc0-1.0 region:us
 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.

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.

For more information about the original UC Merced Land Use dataset,
please visit the official dataset page:

http://weegee.vision.ucmerced.edu/datasets/landuse.html

Please refer to the original dataset source for any additional details,
citations, or specific usage guidelines provided by the dataset creators.
@inproceedings{yang2010bagofvisualwords,
  author    = {Yi Yang and Shawn Newsam},
  title     = {Bag-Of-Visual-Words and Spatial Extensions for Land-Use Classification},
  booktitle = {ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS)},
  year      = {2010}
}
---
license: cc0-1.0
dataset_info:
  config_name: ucmerced_landuse
  features:
  - name: img
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': agricultural
          '1': airplane
          '2': baseballdiamond
          '3': beach
          '4': buildings
          '5': chaparral
          '6': denseresidential
          '7': forest
          '8': freeway
          '9': golfcourse
          '10': harbor
          '11': intersection
          '12': mediumresidential
          '13': mobilehomepark
          '14': overpass
          '15': parkinglot
          '16': river
          '17': runway
          '18': sparseresidential
          '19': storagetanks
          '20': tenniscourt
  splits:
  - name: train
    num_bytes: 406563
    num_examples: 2100
  download_size: 332468434
  dataset_size: 406563
task_categories:
- image-classification
pretty_name: UC Merced Land Use
---

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.

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.

### Original Dataset Source

For more information about the original UC Merced Land Use dataset, please visit the official dataset page:

[UC Merced Land Use Dataset](http://weegee.vision.ucmerced.edu/datasets/landuse.html)

Please refer to the original dataset source for any additional details, citations, or specific usage guidelines provided by the dataset creators.