{"url":"/dataset/muno21","name":"MUNO21","full_name":null,"description_markdown":"**MUNO21** is a large-scale and comprehensive dataset for the map update task. It includes time series of aerial images and map data to capture the evolution of both the physical road network and real street maps over time -- we collect NAIP aerial images at each of four years over the eight-year timespan from 2012–2019, and OSM extracts from each year during the same timespan.","description_withheld":null,"homepage":"https://favyen.com/muno21/","introduced_date":"2021-10-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/beyond-road-extraction-a-dataset-for-map-1","title":"Beyond Road Extraction: A Dataset for Map Update using Aerial Images","first_author":"Favyen Bastani","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["MUNO21"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"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."}