{"url":"/dataset/airs","name":"AIRS","full_name":null,"description_markdown":"The **AIRS** (Aerial Imagery for Roof Segmentation) dataset provides a wide coverage of aerial imagery with 7.5 cm resolution and contains over 220,000 buildings. The task posed for AIRS is defined as roof segmentation. \r\n\r\nSource: [Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings](/paper/aerial-imagery-for-roof-segmentation-a-large)","description_withheld":null,"homepage":"https://www.airs-dataset.com","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/aerial-imagery-for-roof-segmentation-a-large","title":"Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings","first_author":"Qi Chen","url":null},"license":null,"modalities":[],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Instance Segmentation","url":"/task/instance-segmentation","datasets_with_task":"/datasets/task/instance-segmentation"},{"name":"Scene Understanding","url":"/task/scene-understanding","datasets_with_task":"/datasets/task/scene-understanding"}],"languages":[],"variants":["AIRS"],"data_loaders":[],"num_papers_in_archive":9,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semantic-segmentation-on-airs","task":"Semantic Segmentation","dataset_variant":"AIRS","rows":1,"metrics":["IoU"],"first_row_in_archive_order":{"model":"ICT-Net","paper":"/paper/semantic-segmentation-from-remote-sensor-data","metrics":{"IoU":"91.7"},"code_links":[{"title":"Bodhiswatta/ICTNet","url":"https://github.com/Bodhiswatta/ICTNet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/semantic-segmentation-from-remote-sensor-data","title":"Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks","date":"2019-12-19","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}