{"url":"/dataset/ssl4eo-s12","name":"SSL4EO-S12","full_name":null,"description_markdown":"**SSL4EO-S12** is a large-scale, global, multimodal, and multi-seasonal corpus of satellite imagery from the ESA Sentinel-1 & -2 satellite missions.\r\n\r\nSource: [SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation\r\n](https://arxiv.org/pdf/2211.07044v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2211.07044v1.pdf](https://arxiv.org/pdf/2211.07044v1.pdf)","description_withheld":null,"homepage":"https://github.com/zhu-xlab/SSL4EO-S12","introduced_date":"2022-11-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/ssl4eo-s12-a-large-scale-multi-modal-multi","title":"SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation","first_author":"Yi Wang","url":null},"license":null,"modalities":[{"name":"Hyperspectral images","url":"/datasets/modality/hyperspectral-images"}],"tasks":[{"name":"Self-Supervised Learning","url":"/task/self-supervised-learning","datasets_with_task":"/datasets/task/self-supervised-learning"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SSL4EO-S12"],"data_loaders":[],"num_papers_in_archive":2,"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."}