{"url":"/dataset/mars-dtm-estimation","name":"Mars DTM Estimation","full_name":null,"description_markdown":"This dataset is useful for doing research in the field of mars surface monocular depth estimation. \r\nThe dataset is composed of 250k patches where each patch is a 3-channels 512 x 512 raster. The first two channels are respectively left and right images of the stereo pair while the third channel is the DTM.\r\nBecause DTMs are saved with absolute values you have to preprocess in case you want to predict relative values.\r\nThe Dataset size is 800 GB.","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/mattiagatti/uahirise-mars-dtm-estimation","introduced_date":"2022-08-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/an-adversarial-generative-network-designed","title":"An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars","first_author":"Riccardo La Grassa","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":["Mars DTM Estimation"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/depth-estimation-on-mars-dtm-estimation","task":"Depth Estimation","dataset_variant":"Mars DTM Estimation","rows":2,"metrics":["Delta < 1.25","Delta < 1.25^2","Delta < 1.25^3","Average PSNR","mean absolute error","RMSE"],"first_row_in_archive_order":{"model":"GLPDepth","paper":"/paper/an-adversarial-generative-network-designed","metrics":{"Average PSNR":"29.2636","Delta < 1.25":"0.4324","Delta < 1.25^2":"0.6667","Delta < 1.25^3":"0.7949","RMSE":"18.3042","mean absolute error":"10.2905"},"code_links":[{"title":"riccardo2468/srdinet","url":"https://gitlab.com/riccardo2468/srdinet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/an-adversarial-generative-network-designed","title":"An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars","date":"2022-08-15","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"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."}