{"url":"/dataset/llvip","name":"LLVIP","full_name":"A Visible-infrared Paired Dataset for Low-light Vision","description_markdown":"* Visible-infrared Paired Dataset for Low-light Vision\r\n*  30976  images (15488  pairs)\r\n* 24 dark  scenes, 2 daytime scenes\r\n* Support for  image-to-image translation (visible to infrared, or infrared to visible), visible and infrared image fusion, low-light pedestrian detection, and infrared pedestrian detection\r\n* (The original image and video pairs (before registration) of LLVIP are also released!)","description_withheld":null,"homepage":"https://bupt-ai-cz.github.io/LLVIP/","introduced_date":"2021-08-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/llvip-a-visible-infrared-paired-dataset-for","title":"LLVIP: A Visible-infrared Paired Dataset for Low-light Vision","first_author":"Xinyu Jia","url":null},"license":{"name":"This LLVIP Dataset is made freely available to academic and non-academic entities for non-commercial purposes such as academic research, teaching, scientific publications, or personal experimentation. Permission is granted to use the data given that you agree to our license terms.","url":"https://github.com/bupt-ai-cz/LLVIP"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Image Generation","url":"/task/image-generation","datasets_with_task":"/datasets/task/image-generation"},{"name":"Image-to-Image Translation","url":"/task/image-to-image-translation","datasets_with_task":"/datasets/task/image-to-image-translation"},{"name":"Image Enhancement","url":"/task/image-enhancement","datasets_with_task":"/datasets/task/image-enhancement"},{"name":"Low-Light Image Enhancement","url":"/task/low-light-image-enhancement","datasets_with_task":"/datasets/task/low-light-image-enhancement"},{"name":"Pedestrian Detection","url":"/task/pedestrian-detection","datasets_with_task":"/datasets/task/pedestrian-detection"},{"name":"Image Registration","url":"/task/image-registration","datasets_with_task":"/datasets/task/image-registration"},{"name":"Multispectral Object Detection","url":"/task/multispectral-object-detection","datasets_with_task":"/datasets/task/multispectral-object-detection"},{"name":"Zero-shot Classification (unified classes)","url":"/task/zero-shot-classification-unified-classes","datasets_with_task":"/datasets/task/zero-shot-classification-unified-classes"},{"name":"Thermal Infrared Pedestrian Detection","url":"/task/thermal-infrared-pedestrian-detection","datasets_with_task":"/datasets/task/thermal-infrared-pedestrian-detection"},{"name":"Infrared And Visible Image Fusion","url":"/task/infrared-and-visible-image-fusion","datasets_with_task":"/datasets/task/infrared-and-visible-image-fusion"},{"name":"Low-light Pedestrian Detection","url":"/task/low-light-pedestrian-detection","datasets_with_task":"/datasets/task/low-light-pedestrian-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["LLVIP"],"data_loaders":[{"repo":"https://github.com/bupt-ai-cz/LLVIP","url":"https://github.com/bupt-ai-cz/LLVIP","frameworks":["tf","pytorch"]}],"num_papers_in_archive":116,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/pedestrian-detection-on-llvip","task":"Pedestrian Detection","dataset_variant":"LLVIP","rows":15,"metrics":["AP","log average miss rate"],"first_row_in_archive_order":{"model":"MMPedestron","paper":"/paper/when-pedestrian-detection-meets-multi-modal","metrics":{"AP":"0.726"},"code_links":[{"title":"BubblyYi/MMPedestron","url":"https://github.com/BubblyYi/MMPedestron"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/image-to-image-translation-on-llvip","task":"Image-to-Image Translation","dataset_variant":"LLVIP","rows":4,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"pyramidpix2pix","paper":"/paper/bci-breast-cancer-immunohistochemical-image","metrics":{"PSNR":"12.191","SSIM":"0.278"},"code_links":[{"title":"bupt-ai-cz/BCI","url":"https://github.com/bupt-ai-cz/BCI"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/thermal-infrared-pedestrian-detection-on","task":"Thermal Infrared Pedestrian Detection","dataset_variant":"LLVIP","rows":2,"metrics":["AP"],"first_row_in_archive_order":{"model":"YoloV5","paper":"/paper/llvip-a-visible-infrared-paired-dataset-for","metrics":{"AP":"0.670"},"code_links":[{"title":"bupt-ai-cz/LLVIP","url":"https://github.com/bupt-ai-cz/LLVIP"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/image-generation-on-llvip","task":"Image Generation","dataset_variant":"LLVIP","rows":1,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"pix2pix","paper":"/paper/llvip-a-visible-infrared-paired-dataset-for","metrics":{"PSNR":"10.769","SSIM":"0.1757"},"code_links":[{"title":"bupt-ai-cz/LLVIP","url":"https://github.com/bupt-ai-cz/LLVIP"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/multispectral-object-detection-on-llvip","task":"Multispectral Object Detection","dataset_variant":"LLVIP","rows":1,"metrics":["mAP50"],"first_row_in_archive_order":{"model":"CFT","paper":"/paper/cross-modality-fusion-transformer-for","metrics":{"mAP50":"97.5"},"code_links":[{"title":"docf/multispectral-object-detection","url":"https://github.com/docf/multispectral-object-detection"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/object-detection-on-llvip","task":"Object Detection","dataset_variant":"LLVIP","rows":1,"metrics":["AP"],"first_row_in_archive_order":{"model":"MiPa","paper":"/paper/mipa-mixed-patch-infrared-visible-modality","metrics":{"AP":"0.665"},"code_links":[{"title":"heitorrapela/mipa","url":"https://github.com/heitorrapela/mipa"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/caff-dino-multi-spectral-object-detection","title":"CAFF-DINO: Multi-spectral object detection transformers with cross-attention features fusion","date":"2024-09-27","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/when-pedestrian-detection-meets-multi-modal","title":"When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset","date":"2024-07-14","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/mipa-mixed-patch-infrared-visible-modality","title":"MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection","date":"2024-04-29","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/unirgb-ir-a-unified-framework-for-visible","title":"UniRGB-IR: A Unified Framework for RGB-Infrared Semantic Tasks via Adapter Tuning","date":"2024-04-26","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/insanet-intra-inter-spectral-attention","title":"INSANet: INtra-INter Spectral Attention Network for Effective Feature Fusion of Multispectral Pedestrian Detection","date":"2024-02-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/removal-and-selection-improving-rgb-infrared","title":"Removal then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection","date":"2024-01-19","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/multimodal-object-detection-by-channel","title":"Multimodal Object Detection by Channel Switching and Spatial Attention","date":"2023-06-18","rows_on_this_dataset":4,"code_links":0,"syntology":null},{"paper":"/paper/bci-breast-cancer-immunohistochemical-image","title":"BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix","date":"2022-04-25","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/cmx-cross-modal-fusion-for-rgb-x-semantic","title":"CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers","date":"2022-03-09","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/cross-modality-fusion-transformer-for","title":"Cross-Modality Fusion Transformer for Multispectral Object Detection","date":"2021-10-30","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/llvip-a-visible-infrared-paired-dataset-for","title":"LLVIP: A Visible-infrared Paired Dataset for Low-light Vision","date":"2021-08-24","rows_on_this_dataset":6,"code_links":1,"syntology":null},{"paper":"/paper/multimodal-object-detection-via-bayesian","title":"Multimodal Object Detection via Probabilistic Ensembling","date":"2021-04-07","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":8,"samples_unverified":3,"pointer_only_for_licence":8,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":13,"samples_ran":10,"samples_unverified":3,"pointer_only_for_licence":8,"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."}