uc_merced

• Description:

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.

While most images are 256x256 pixels, there are 44 images with different shape.

• Additional Documentation: Explore on Papers With Code

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

• Source code: tfds.image_classification.UcMerced

• Versions:

  • 2.0.0 (default): New split API (https://tensorflow.org/datasets/splits)

• Download size: 317.07 MiB

• Dataset size: 238.63 MiB

• Auto-cached (documentation): Only when shuffle_files=False (train)

• Splits:

Split	Examples
'train'	2,100

• Feature structure:

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

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
filename	Text		string
image	Image	(None, None, 3)	uint8
label	ClassLabel		int64

• Supervised keys (See as_supervised doc): ('image', 'label')

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

• 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",
}