{"url":"/dataset/guiss-dataset","name":"GUISS dataset","full_name":"Meshes, textures, Blend files, stereo datasets, depth maps, depth estimations)","description_markdown":"We provide all the expected data inputs to GUISS such as meshes, texture images, and blend files. Generated datasets used in our experiments along with the stereo depth estimations can be downloaded. We have defined seven dataset types: scene_reconstructions, texture_variation, gaea_texture_variation, generative_texture, terrain_variation, rocks, and generative_texture_snow. Each dataset type contains renderings with varying values of different parameters such as lighting angle, texture imgs, albedo, etc. Position each dataset type folder under data/dataset/.\r\n\r\nDetails and links at: https://github.com/nasa-jpl/guiss","description_withheld":null,"homepage":"https://github.com/nasa-jpl/guiss","introduced_date":"2024-01-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/icy-moon-surface-simulation-and-stereo-depth","title":"Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling Autonomy","first_author":"Ramchander Bhaskara","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Instance Segmentation","url":"/task/instance-segmentation","datasets_with_task":"/datasets/task/instance-segmentation"},{"name":"Stereo Depth Estimation","url":"/task/stereo-depth-estimation","datasets_with_task":"/datasets/task/stereo-depth-estimation"},{"name":"Stereo Disparity Estimation","url":"/task/stereo-disparity-estimation","datasets_with_task":"/datasets/task/stereo-disparity-estimation"},{"name":"Stereo Matching","url":"/task/stereo-matching-1","datasets_with_task":"/datasets/task/stereo-matching-1"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["GUISS dataset"],"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."}