{"url":"/dataset/s2looking","name":"S2Looking","full_name":null,"description_markdown":"**S2Looking** is a building change detection dataset that contains large-scale side-looking satellite images captured at varying off-nadir angles. The S2Looking dataset consists of 5,000 registered bitemporal image pairs (size of 1024*1024, 0.5 ~ 0.8 m/pixel) of rural areas throughout the world and more than 65,920 annotated change instances. We provide two label maps to separately indicate the newly built and demolished building regions for each sample in the dataset. We establish a benchmark task based on this dataset, i.e., identifying the pixel-level building changes in the bi-temporal images.","description_withheld":null,"homepage":"https://github.com/AnonymousForACMMM/Dataset","introduced_date":"2021-07-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/s2looking-a-satellite-side-looking-dataset","title":"S2Looking: A Satellite Side-Looking Dataset for Building Change Detection","first_author":"Li Shen","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Change Detection","url":"/task/change-detection","datasets_with_task":"/datasets/task/change-detection"}],"languages":[],"variants":["S2Looking"],"data_loaders":[{"repo":"https://github.com/likyoo/open-cd","url":"https://github.com/likyoo/open-cd","frameworks":["pytorch"]},{"repo":"https://github.com/isaaccorley/torchrs","url":"https://github.com/isaaccorley/torchrs","frameworks":["pytorch"]}],"num_papers_in_archive":27,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/change-detection-on-s2looking","task":"Change Detection","dataset_variant":"S2Looking","rows":11,"metrics":["F1-Score","Precision","Recall","OA","KC","IoU","F1"],"first_row_in_archive_order":{"model":"SChanger-base","paper":"/paper/schanger-change-detection-from-a-semantic","metrics":{"F1-Score":"68.95"},"code_links":[{"title":"zhouziyu-cn/SChanger","url":"https://github.com/zhouziyu-cn/SChanger"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/schanger-change-detection-from-a-semantic","title":"SChanger: Change Detection from a Semantic Change and Spatial Consistency Perspective","date":"2025-03-26","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/c2f-semicd-a-coarse-to-fine-semi-supervised","title":"C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images","date":"2024-04-22","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/hanet-a-hierarchical-attention-network-for","title":"HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images","date":"2024-04-14","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/change-guiding-network-incorporating-change","title":"Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery","date":"2024-04-14","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/lsknet-a-foundation-lightweight-backbone-for","title":"LSKNet: A Foundation Lightweight Backbone for Remote Sensing","date":"2024-03-18","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/bd-msa-body-decouple-vhr-remote-sensing-image","title":"BD-MSA: Body decouple VHR Remote Sensing Image Change Detection method guided by multi-scale feature information aggregation","date":"2024-01-09","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/scalable-multi-temporal-remote-sensing-change-1","title":"Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process","date":"2023-09-29","rows_on_this_dataset":2,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":5,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/hcgmnet-a-hierarchical-change-guiding-map","title":"HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection","date":"2023-02-21","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/changer-feature-interaction-is-what-you-need","title":"Changer: Feature Interaction is What You Need for Change Detection","date":"2022-09-17","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":5,"samples_ran":5,"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."}