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justiceLord/INRIA-Aerial-Image-Labeling

Inria Aerial Image Labeling Dataset Description The Inria Aerial Image Labeling Dataset is a building semantic segmentation dataset proposed in "Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark," Maggiori et al.. It consists of 360 high-resolution (0.3m) RGB images, each with a size of 5000x5000 pixels. These images are extracted from various international GIS services, such as the USGS National Map. Project page:… See the full description on the dataset page: https://huggingface.co/datasets/justiceLord/INRIA-Aerial-Image-Labeling.

Author / organizationjusticeLord
License (as declared)unknown
Downloads2.9K (as reported by Hugging Face)
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Created11 February 2026
Last updated at source11 February 2026
remote-sensingearth-observationgeospatialsatellite-imageryscene-segmentationsemantic-segmentationbuilding-labeling
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