{"url":"/dataset/depth-in-the-wild","name":"Depth in the Wild","full_name":null,"description_markdown":"**Depth in the Wild** is a dataset for single-image depth perception in the wild, i.e., recovering depth from a single image taken in unconstrained settings. It consists of images in the wild annotated with relative depth between pairs of random points.","description_withheld":null,"homepage":"http://www-personal.umich.edu/~wfchen/depth-in-the-wild/","introduced_date":"2016-04-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/single-image-depth-perception-in-the-wild","title":"Single-Image Depth Perception in the Wild","first_author":"Weifeng Chen","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Depth Estimation","url":"/task/depth-estimation","datasets_with_task":"/datasets/task/depth-estimation"}],"languages":[],"variants":["Depth in the Wild"],"data_loaders":[],"num_papers_in_archive":11,"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."}