{"url":"/dataset/liv360sv","name":"LIV360SV","full_name":"Liverpool 360 degree Street View","description_markdown":"The dataset contains 26,645, 360 degree, street-level images collected via cycling with a GoPro Fusion camera, recorded Jan 14th -- 18th 2020. 10,106 advertisements were identified and classified as food (1335), alcohol (217), gambling (149) and other (8405) (e.g., cars and broadband).\r\n\r\nSource: [A deep learning approach to identify unhealthy advertisements in street view images](https://arxiv.org/pdf/2007.04611)","description_withheld":null,"homepage":"https://github.com/gjp1203/LIV360SV","introduced_date":"2020-07-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-deep-learning-approach-to-identify","title":"A deep learning approach to identify unhealthy advertisements in street view images","first_author":"Gregory Palmer","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["LIV360SV"],"data_loaders":[{"repo":"https://github.com/gjp1203/LIV360SV","url":"https://github.com/gjp1203/LIV360SV","frameworks":["tf"]}],"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."}