Datasets › INRIA Aerial Image Labeling

INRIA Aerial Image Labeling

Introduced by Karen Simonyan et al. in Very Deep Convolutional Networks for Large-Scale Image Recognition1 Jan 2017 archive 2025-07-28

The INRIA Aerial Image Labeling dataset is comprised of 360 RGB tiles of 5000×5000px with a spatial resolution of 30cm/px on 10 cities across the globe. Half of the cities are used for training and are associated to a public ground truth of building footprints. The rest of the dataset is used only for evaluation with a hidden ground truth. The dataset was constructed by combining public domain imagery and public domain official building footprints.

Source: Distance transform regression for spatially-aware deep semantic segmentation Image Source: https://project.inria.fr/aerialimagelabeling/

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Semantic Segmentation INRIA Aerial Image Labeling UANet(PVT-V2-B2) IoU 83.34 Building Extraction from Remote Sensing Images via an... henryjiepanli/uncertainty-aware-network 8 Compare

Papers archive 2025-07-28

5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 21. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

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Modalities archive 2025-07-28

Languages archive 2025-07-28

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Variants archive 2025-07-28

  • INRIA Aerial Image Labeling

1 variant name, as the archive lists them.

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