{"url":"/dataset/ce4","name":"CE4","full_name":null,"description_markdown":"Given the difficulty to handle planetary data we provide downloadable files in PNG format from the missions Chang'E-3 and Chang'E-4. In addition to a set of scripts to do the conversion given a different PDS4 Dataset. \r\n\r\nThis set of images constitute one of the first available datasets to tackle problems of Computer Vision and Learning in the context of space exploration.","description_withheld":null,"homepage":"https://github.com/decurtoidiaz/ce4/","introduced_date":"2020-11-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/cycle-consistent-generative-adversarial","title":"Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang'E-4","first_author":"J. de Curtó","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Environment","url":"/datasets/modality/environment"},{"name":"Stereo","url":"/datasets/modality/stereo"}],"tasks":[],"languages":[],"variants":["CE4"],"data_loaders":[{"repo":"https://github.com/decurtoidiaz/ce4","url":"https://github.com/decurtoidiaz/ce4","frameworks":[]}],"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."}