{"url":"/dataset/dlr-acd","name":"DLR-ACD","full_name":null,"description_markdown":"The DLR-ACD dataset is a collection of aerial images for crowd counting and density estimation, as well as for person localization at mass events. It contains 33 large aerial images acquired through 16 different flight campaigns at various mass events and over urban scenes involving crowds, such as sport events, city centers, open-air fairs and festivals.\r\n\r\nThe images were captured with standard DSLR cameras installed on a helicopter, and their spatial resolution (or ground sampling distance – GSD) ranges from 4.5 to 15 cm/pixel. The dataset was labeled manually with point-annotations on individual people and contains 226,291 person annotations in total, ranging from 285 to 24,368 annotations per image.","description_withheld":null,"homepage":"https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-58354","introduced_date":"2019-09-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/mrcnet-crowd-counting-and-density-map","title":"MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery","first_author":"Reza Bahmanyar","url":null},"license":null,"modalities":[],"tasks":[{"name":"Crowd Counting","url":"/task/crowd-counting","datasets_with_task":"/datasets/task/crowd-counting"}],"languages":[],"variants":["DLR-ACD"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/crowd-counting-on-dlr-acd","task":"Crowd Counting","dataset_variant":"DLR-ACD","rows":5,"metrics":["F1-score","MAE","MNAE","Precision","RMSE","Recall"],"first_row_in_archive_order":{"model":"MRCNet (ours)","paper":"/paper/mrcnet-crowd-counting-and-density-map","metrics":{"F1-score":"0.49","MAE":"906","MNAE":"0.21","Precision":"0.51","RMSE":"1307.4","Recall":"0.48"},"code_links":[{"title":"gpspelle/Crowd-Counting","url":"https://github.com/gpspelle/Crowd-Counting"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/mrcnet-crowd-counting-and-density-map","title":"MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery","date":"2019-09-27","rows_on_this_dataset":5,"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."}