{"url":"/dataset/spacenet-1","name":"SpaceNet 1","full_name":"SpaceNet 1: Building Detection v1","description_markdown":"SpaceNet 1: Building Detection v1 is a dataset for building footprint detection. The data is comprised of 382,534 building footprints, covering an area of 2,544 sq. km of 3/8 band WorldView-2 imagery (0.5 m pixel res.) across the city of Rio de Janeiro, Brazil. The images are processed as 200m×200m tiles with associated building footprint vectors for training.\r\n\r\nThe main use case for the detection of building footprints from satellite imagery is to aid foundational mapping.","description_withheld":null,"homepage":"https://spacenet.ai/spacenet-buildings-dataset-v1/","introduced_date":"2018-07-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/spacenet-a-remote-sensing-dataset-and","title":"SpaceNet: A Remote Sensing Dataset and Challenge Series","first_author":"Adam Van Etten","url":null},"license":{"name":"CC BY-SA 4.0","url":"https://creativecommons.org/licenses/by-sa/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"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"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SpaceNet 1"],"data_loaders":[{"repo":"https://github.com/microsoft/torchgeo","url":"https://torchgeo.readthedocs.io/en/latest/api/datasets.html#torchgeo.datasets.SpaceNet1","frameworks":["pytorch"]}],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semantic-segmentation-on-spacenet-1","task":"Semantic Segmentation","dataset_variant":"SpaceNet 1","rows":10,"metrics":["Mean IoU"],"first_row_in_archive_order":{"model":"MAE+MTP(ViT-L)","paper":"/paper/mtp-advancing-remote-sensing-foundation-model","metrics":{"Mean IoU":"79.69"},"code_links":[{"title":"vitae-transformer/mtp","url":"https://github.com/vitae-transformer/mtp"},{"title":"cuzyoung/crossearth","url":"https://github.com/cuzyoung/crossearth"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/object-detection-on-spacenet-1","task":"Object Detection","dataset_variant":"SpaceNet 1","rows":1,"metrics":["F1 Score"],"first_row_in_archive_order":{"model":"YOLT","paper":"/paper/spacenet-a-remote-sensing-dataset-and","metrics":{"F1 Score":"0.21"},"code_links":[{"title":"avanetten/avanetten.github.io","url":"https://github.com/avanetten/avanetten.github.io"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/scaling-efficient-masked-autoencoder-learning","title":"Scaling Efficient Masked Image Modeling on Large Remote Sensing Dataset","date":"2024-06-17","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":4,"samples_unverified":3,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/mtp-advancing-remote-sensing-foundation-model","title":"MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining","date":"2024-03-20","rows_on_this_dataset":4,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":4,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/geography-aware-self-supervised-learning","title":"Geography-Aware Self-Supervised Learning","date":"2020-11-19","rows_on_this_dataset":5,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":1,"samples_unverified":2,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/spacenet-a-remote-sensing-dataset-and","title":"SpaceNet: A Remote Sensing Dataset and Challenge Series","date":"2018-07-03","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":15,"samples_ran":9,"samples_unverified":6,"pointer_only_for_licence":3,"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."}