{"url":"/dataset/patternnet","name":"PatternNet","full_name":null,"description_markdown":"PatternNet is a large-scale high-resolution remote sensing dataset collected for remote sensing image retrieval. There are 38 classes and each class has 800 images of size 256×256 pixels. The images in PatternNet are collected from Google Earth imagery or via the Google Map API for some US cities. The following table shows the classes and the corresponding spatial resolutions. The figure shows some example images from each class.","description_withheld":null,"homepage":"https://sites.google.com/view/zhouwx/dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Transductive Zero-Shot Classification","url":"/task/transductive-zero-shot-classification","datasets_with_task":"/datasets/task/transductive-zero-shot-classification"}],"languages":[],"variants":["PatternNet"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/blanchon/PatternNet","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/transductive-zero-shot-classification-on-13","task":"Transductive Zero-Shot Classification","dataset_variant":"PatternNet","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"RS-TransCLIP","paper":"/paper/enhancing-remote-sensing-vision-language","metrics":{"Accuracy":"96.2"},"code_links":[{"title":"elkhouryk/rs-transclip","url":"https://github.com/elkhouryk/rs-transclip"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/enhancing-remote-sensing-vision-language","title":"Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification","date":"2024-09-01","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}