{"url":"/dataset/depth-from-couple-optical-differentiation","name":"Depth from Couple Optical Differentiation","full_name":null,"description_markdown":"Provide:\r\n\r\n* 10 pickle files\r\n* 8 pickle files are used to generate depth maps\r\n* 2 pickle files are data of fronto parallel texture with their ground truth depth\r\n* Each pickle file contains the parameter of the camera system (aperture size, optical power, flange focal distance...)","description_withheld":null,"homepage":"https://purdue0-my.sharepoint.com/personal/luo330_purdue_edu/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fluo330%5Fpurdue%5Fedu%2FDocuments%2FData%2FCOD%20Dataset&ga=1","introduced_date":"2024-09-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/depth-from-coupled-optical-differentiation","title":"Depth from Coupled Optical Differentiation","first_author":"Junjie Luo","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":[{"name":"English","url":"/datasets/language/english"}],"variants":["Depth from Couple Optical Differentiation"],"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."}