blanchon/UC_Merced

UC Merced

The UC Merced Land Use dataset is a land use classification dataset of 2.1k 256x256 1ft resolution RGB images of urban locations around the U.S. extracted from the USGS National Map Urban Area Imagery collection with 21 land use classes (100 images per class).

• Paper: https://arxiv.org/abs/1911.06721
• Homepage: http://weegee.vision.ucmerced.edu/datasets/landuse.html

Description

• Total Number of Images: 2100
• Bands: 3 (RGB)
• Image Size: 256x256
• Resolution: 0.3m
• Land Cover Classes: 21
• Classes: agricultural, airplane, baseballdiamond, beach, buildings, chaparral, denseresidential, forest, freeway, golfcourse, harbor, intersection, mediumresidential, mobilehomepark, overpass, parkinglot, river, runway, sparseresidential, storagetanks, tenniscourt
• Source: USGS

Usage

To use this dataset, simply use datasets.load_dataset("blanchon/UC_Merced").

from datasets import load_dataset
UC_Merced = load_dataset("blanchon/UC_Merced")

Citation

If you use the EuroSAT dataset in your research, please consider citing the following publication:

@article{neumann2019indomain,
  title   = {In-domain representation learning for remote sensing},
  author  = {Maxim Neumann and Andre Susano Pinto and Xiaohua Zhai and Neil Houlsby},
  year    = {2019},
  journal = {arXiv preprint arXiv: 1911.06721}
}