{"url":"/dataset/megadepth","name":"MegaDepth","full_name":null,"description_markdown":"The MegaDepth dataset is a dataset for single-view depth prediction that includes 196 different locations reconstructed from COLMAP SfM/MVS.\r\n\r\nSource: [MegaDepth: Learning Single-View Depth Prediction from Internet Photos](/paper/megadepth-learning-single-view-depth)","description_withheld":null,"homepage":"http://www.cs.cornell.edu/projects/megadepth/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/megadepth-learning-single-view-depth","title":"MegaDepth: Learning Single-View Depth Prediction from Internet Photos","first_author":"Zhengqi Li","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Depth Estimation","url":"/task/depth-estimation","datasets_with_task":"/datasets/task/depth-estimation"},{"name":"3D Reconstruction","url":"/task/3d-reconstruction","datasets_with_task":"/datasets/task/3d-reconstruction"},{"name":"Optical Flow Estimation","url":"/task/optical-flow-estimation","datasets_with_task":"/datasets/task/optical-flow-estimation"}],"languages":[],"variants":["MegaDepth"],"data_loaders":[],"num_papers_in_archive":152,"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."}