{"url":"/dataset/the-hypso-1-sea-land-cloud-labeled-dataset","name":"The HYPSO-1 Sea-Land-Cloud-Labeled Dataset","full_name":null,"description_markdown":"Hyperspectral Imaging, employed in satellites for space remote sensing, like HYPSO-1, faces constraints due to few labeled data sets, affecting the training of AI models demanding these ground-truth annotations. In this work, we introduce The HYPSO-1 Sea-Land-Cloud-Labeled Dataset, an open dataset with 200 diverse hyperspectral images from the HYPSO-1 mission, available in both raw and calibrated forms for scientific research in Earth observation. Moreover, 38 of these images from different countries include ground-truth labels at pixel-level totaling about 25 million spectral signatures labeled for sea/land/cloud categories. To demonstrate the potential of the dataset and its labeled subset, we have additionally optimized a deep learning model (1D Fully Convolutional Network), achieving superior performance to the current state of the art. Our dataset supports applications like super-resolution, anomaly detection, image fusion, classification, and unmixing. The complete dataset, ground-truth labels, deep learning model, and software code are openly accessible for download at the website https://ntnu-smallsat-lab.github.io/hypso1_sea_land_clouds_dataset/ .","description_withheld":null,"homepage":"https://ntnu-smallsat-lab.github.io/hypso1_sea_land_clouds_dataset/","introduced_date":"2023-08-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/an-open-hyperspectral-dataset-with-sea-land","title":"An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the HYPSO-1 Satellite","first_author":"Jon A. Justo","url":null},"license":null,"modalities":[],"tasks":[{"name":"Image Segmentation","url":"/task/image-segmentation","datasets_with_task":"/datasets/task/image-segmentation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["The HYPSO-1 Sea-Land-Cloud-Labeled 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":"2026-09-25T09:33:49+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."}