{"url":"/dataset/lasiesta","name":"LASIESTA","full_name":"LASIESTA","description_markdown":"**LASIESTA (Labeled and Annotated Sequences for Integral Evaluation of SegmenTation Algorithms)** is a segmentation and detection dataset composed by many real indoor and outdoor sequences organized into categories, each of one covering a specific challenge in moving object detection strategies.","description_withheld":null,"homepage":"http://www.gti.ssr.upm.es/data/LASIESTA","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["LASIESTA"],"data_loaders":[],"num_papers_in_archive":0,"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":"2026-09-25T09:33:49+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."}