{"url":"/dataset/fdst","name":"FDST","full_name":"Fudan-ShanghaiTech","description_markdown":"The **Fudan-ShanghaiTech** dataset (**FDST**) is a dataset for video crowd counting. It contains 15K frames with about 394K annotated heads captured from 13 different scenes\n\nSource: [https://arxiv.org/abs/1907.07911](https://arxiv.org/abs/1907.07911)","description_withheld":null,"homepage":"https://github.com/sweetyy83/Lstn_fdst_dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/locality-constrained-spatial-transformer","title":"Locality-constrained Spatial Transformer Network for Video Crowd Counting","first_author":"Yanyan Fang","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Binarization","url":"/task/binarization","datasets_with_task":"/datasets/task/binarization"},{"name":"Crowd Counting","url":"/task/crowd-counting","datasets_with_task":"/datasets/task/crowd-counting"},{"name":"Active Learning","url":"/task/active-learning","datasets_with_task":"/datasets/task/active-learning"}],"languages":[],"variants":["FDST"],"data_loaders":[{"repo":"https://github.com/sweetyy83/Lstn_fdst_dataset","url":"https://github.com/sweetyy83/Lstn_fdst_dataset","frameworks":[]}],"num_papers_in_archive":18,"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."}