{"url":"/dataset/virtual-pedcross-4667","name":"Virtual-Pedcross-4667","full_name":null,"description_markdown":"**Virtual-PedCross-4667** is a dataset for pedestrian crossing prediction. It consists of 4667 video sequences, 2862 pedestrian crossing sequences and 1804 not-crossing sequences. Totally, 745k video frames with the resolution of 1280×720 are saved.\r\n\r\nSource: [Deep Virtual-to-Real Distillation for Pedestrian Crossing Prediction\r\n](https://arxiv.org/pdf/2211.00856v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2211.00856v1.pdf](https://arxiv.org/pdf/2211.00856v1.pdf)","description_withheld":null,"homepage":"http://www.lotvs.net/code_data/","introduced_date":"2022-11-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/deep-virtual-to-real-distillation-for","title":"Deep Virtual-to-Real Distillation for Pedestrian Crossing Prediction","first_author":"Jie Bai","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Pedestrian Detection","url":"/task/pedestrian-detection","datasets_with_task":"/datasets/task/pedestrian-detection"}],"languages":[],"variants":["Virtual-Pedcross-4667"],"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."}