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Data release v20260813_165116 Generated 2026-08-13 Methodology Report missing resource
Data checked 2026-08-13. Data checked within the review cycle. Review cycles are documented on the Methodology page. Methodology

usmanhf/INRIA-Aerial-Image-Labeling

Official Confirmed

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 internat

Dataset Tier A

How is it used?

Start from the recorded entry points below, then validate against the technical checklist.

  • Official site https://huggingface.co/datasets/usmanhf/INRIA-Aerial-Image-Labeling
  • Documentation https://huggingface.co/datasets/usmanhf/INRIA-Aerial-Image-Labeling

Technical checklist

  • OK License identified Recorded: unknown
  • OK Maintenance signal Active
  • OK Verification status official confirmed
  • OK Source evidence attached 1 source record(s)
  • NEEDS REVIEW Latest version recorded Not recorded

Official Links

Metadata & Governance

License unknown — Inferred from a source field (e.g. license.spdx_id)
Commercial modelunknown
Maintenance statusActive
Verification status official_confirmed — confirmed via the official repository API responses in SourceRefs below.
Latest versionNot recorded
Latest releaseNot recorded
Last activity2026-07-25
Last checked2026-08-13
First seenNot recorded

Dataset facts

Taskimage-segmentation
Modalityimage, geospatial
License (dataset card)unknown
Size categoryn<1K
Downloads975
arXiv 1608.05167

Facts above come from the official dataset card only; unconfirmed fields stay unknown.

Related Resources & Dependencies

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