uc_merced

UC Merced is a 21 class land use remote sensing image dataset, with 100 images per class. 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 0.3 m. Each image measures 256x256 pixels.

URL: http://weegee.vision.ucmerced.edu/datasets/landuse.html
DatasetBuilder: tfds.image.uc_merced.UcMerced
Version: v0.0.1
Versions:
- 0.0.1 (default):
- 2.0.0: New split API (https://tensorflow.org/datasets/splits)
Size: 317.07 MiB

Features

FeaturesDict({
    'filename': Text(shape=(), dtype=tf.string),
    'image': Image(shape=(None, None, 3), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=21),
})

Statistics

Split	Examples
ALL	2,100
TRAIN	2,100

Homepage

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

Supervised keys (for `as_supervised=True`)

(u'image', u'label')

Citation

@InProceedings{Nilsback08,
   author = "Yang, Yi and Newsam, Shawn",
   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",
}