Dataset · Hugging Face

usmanhf/INRIA-Aerial-Image-Labeling

Name: INRIA-Aerial-Image-Labeling
Creator: usmanhf
License: unknown
Keywords: task_categories:image-segmentation, language:en, license:unknown, size_categories:n<1K, format:imagefolder, modality:image, modality:geospatial, library:datasets, library:mlcroissant, arxiv:1608.05167, region:us, remote-sensing, earth-observation, geospatial, satellite-imagery

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/usmanhf/INRIA-Aerial-Image-Labeling.

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Author / organization	usmanhf
License (as declared)	unknown
Downloads	1.9K (as reported by Hugging Face)
Likes	0
Created	25 July 2026
Last updated at source	25 July 2026

remote-sensingearth-observationgeospatialsatellite-imageryscene-segmentationsemantic-segmentationbuilding-labeling

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