{"url":"/dataset/fmow","name":"fMoW","full_name":"Functional Map of the World","description_markdown":"Functional Map of the World (fMoW) is a dataset that aims to inspire the development of machine learning models capable of predicting the functional purpose of buildings and land use from temporal sequences of satellite images and a rich set of metadata features. \r\n\r\nSource: [Functional Map of the World](/paper/functional-map-of-the-world)\r\nImage Source: [Christie et al](https://arxiv.org/pdf/1711.07846.pdf)","description_withheld":null,"homepage":"https://github.com/fMoW/dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/functional-map-of-the-world","title":"Functional Map of the World","first_author":"Gordon Christie","url":null},"license":{"name":"Custom (non-commercial)","url":"https://raw.githubusercontent.com/fMoW/dataset/master/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Image Super-Resolution","url":"/task/image-super-resolution","datasets_with_task":"/datasets/task/image-super-resolution"},{"name":"Disaster Response","url":"/task/disaster-response","datasets_with_task":"/datasets/task/disaster-response"}],"languages":[],"variants":["fMoW"],"data_loaders":[{"repo":"https://github.com/fMoW/dataset","url":"https://github.com/fMoW/dataset","frameworks":[]}],"num_papers_in_archive":144,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/classification-on-fmow","task":"Classification","dataset_variant":"fMoW","rows":0,"metrics":["Accuracy"],"first_row_in_archive_order":null,"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[],"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."}