{"url":"/dataset/bh-rppg","name":"BH-rPPG","full_name":null,"description_markdown":"BH-rPPG dataset (stands for Beihang University Remote PhotoPlethysmoGraphy) is a dataset consists of 3 lighting conditions with uneven distribution which collected in indoor environment. In order to evaluate the performance of deep learning based rPPG under different lighting conditions, we recruited twelve healthy subjects (11 males and 1 females) on campus, with a mean age of 32, SD of 2.5.","description_withheld":null,"homepage":"https://github.com/yangze68/BH-rPPG-dataset","introduced_date":"2021-07-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/assessment-of-deep-learning-based-heart-rate","title":"Assessment of Deep Learning-based Heart Rate Estimation using Remote Photoplethysmography under Different Illuminations","first_author":"Ze Yang","url":null},"license":{"name":"Custom (research-only)","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["BH-rPPG"],"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."}