{"url":"/dataset/light-field-material","name":"Light-Field Material","full_name":null,"description_markdown":"This is a 4D light-field dataset of materials. The dataset contains 12 material categories, each with 100 images taken with a Lytro Illum, from which we extract about 30,000 patches in total.","description_withheld":null,"homepage":"http://cseweb.ucsd.edu/~viscomp/projects/LF/papers/ECCV16/LF_dataset.zip","introduced_date":"2016-08-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-4d-light-field-dataset-and-cnn","title":"A 4D Light-Field Dataset and CNN Architectures for Material Recognition","first_author":"Ting-Chun Wang","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["Light-Field Material"],"data_loaders":[],"num_papers_in_archive":4,"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."}