SlumMapVisionBR: A Dataset for Mapping Slums with Medium-Resolution Satellite Imagery

This dataset contains Landsat images (30m/pixel) and masks with slum locations in Brazil. 
This imagery can be used to train models that help keep track of Goal 11.1 of the United Nations Sustainable Development Goals. 
Details on how the data was collected and labelled are available at: https://github.com/ml-labs-crt/SlumMapVisionBR, along with the code to generate the dataset and benchmark results.
Description of files:

images.zip contains the images.
masks.zip contains the masks with slum locations (1 indicates the area has been labelled as a slum).
metadata.csv contains information about the 116 locations in this dataset.
metadata_dictionary.txt includes a description of the fields in metadata.csv.
Refining documentation: We welcome additions and edits that make using the existing data or adding new data more straightforward for the community. Please get in touch with us by posting an issue on GitHub.