{"id":13712293,"url":"https://github.com/xahidbuffon/Awesome_Underwater_Datasets","last_synced_at":"2025-05-06T21:33:56.614Z","repository":{"id":39718191,"uuid":"219897924","full_name":"xahidbuffon/Awesome_Underwater_Datasets","owner":"xahidbuffon","description":"Pointers to large-scale underwater datasets and relevant resources.","archived":false,"fork":false,"pushed_at":"2024-06-08T09:37:30.000Z","size":598,"stargazers_count":554,"open_issues_count":3,"forks_count":125,"subscribers_count":14,"default_branch":"master","last_synced_at":"2024-11-02T15:02:34.935Z","etag":null,"topics":["detection","imagery","marine-data","marine-resources","marine-species","stereo-data","underwater-datasets","underwater-image","underwater-images","underwater-robotics","underwater-vehicles"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/xahidbuffon.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2019-11-06T02:47:31.000Z","updated_at":"2024-11-02T07:55:37.000Z","dependencies_parsed_at":"2022-07-13T13:40:29.492Z","dependency_job_id":"6ac8a4fd-939a-4c94-8002-f04d29010c29","html_url":"https://github.com/xahidbuffon/Awesome_Underwater_Datasets","commit_stats":{"total_commits":62,"total_committers":2,"mean_commits":31.0,"dds":"0.016129032258064502","last_synced_commit":"94759029924e85f1dadce0ea6e4020dea10fd7e9"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xahidbuffon%2FAwesome_Underwater_Datasets","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xahidbuffon%2FAwesome_Underwater_Datasets/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xahidbuffon%2FAwesome_Underwater_Datasets/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xahidbuffon%2FAwesome_Underwater_Datasets/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/xahidbuffon","download_url":"https://codeload.github.com/xahidbuffon/Awesome_Underwater_Datasets/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":223664862,"owners_count":17182195,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["detection","imagery","marine-data","marine-resources","marine-species","stereo-data","underwater-datasets","underwater-image","underwater-images","underwater-robotics","underwater-vehicles"],"created_at":"2024-08-02T23:01:16.778Z","updated_at":"2024-11-13T22:31:33.625Z","avatar_url":"https://github.com/xahidbuffon.png","language":null,"funding_links":[],"categories":["Summary","Other Lists","Others"],"sub_categories":["TeX Lists"],"readme":"## Image Enhancement, Color Correction/Restoration\n- EUVP dataset: [Data](http://irvlab.cs.umn.edu/resources/euvp-dataset), [Paper](https://arxiv.org/abs/1903.09766), [Code](https://github.com/xahidbuffon/funie-gan). (paired and unpaired data; FUnIE-GAN)\n- Underwater imagenet: [Data](http://irvlab.cs.umn.edu/resources/), [Paper](https://ieeexplore.ieee.org/document/8460552), [Code](https://github.com/cameronfabbri/Underwater-Color-Correction). (paired data; UGAN)\n- UIEBD dataset: [Data](https://li-chongyi.github.io/proj_benchmark.html), [Paper](https://arxiv.org/abs/1901.05495), [Code](https://github.com/Li-Chongyi/Water-Net_Code). (Water-Net)\n- SQUID dataset: [Data](http://csms.haifa.ac.il/profiles/tTreibitz/datasets/ambient_forwardlooking/index.html), [Paper](https://arxiv.org/abs/1811.01343), [Code](https://github.com/danaberman/underwater-hl). (Underwater-HL)\n- U-45: [Data](https://github.com/IPNUISTlegal/underwater-test-dataset-U45-), [Paper](https://arxiv.org/abs/1906.06819). (UDAE)\n- RUIE benchmark: [Data](https://github.com/dlut-dimt/Realworld-Underwater-Image-Enhancement-RUIE-Benchmark), [Paper](https://arxiv.org/abs/1901.05320). (RUIE-Net)\n- Jamaica port royal: [Data](https://github.com/kskin/data), [Paper](https://arxiv.org/abs/1702.07392), [Code](https://github.com/kskin/WaterGAN/). (Water-GAN)\n- Virtual periscope: [Data](http://webee.technion.ac.il/~yoav/research/random_distort.html), [Paper](https://ieeexplore.ieee.org/abstract/document/7448905).\n- Color correction: [Data](https://web.whoi.edu/singh/underwater-imaging/datasets/color-correction/).\n- Color restoration: [Data](http://csms.haifa.ac.il/profiles/tTreibitz/datasets/ambient_forwardlooking/index.html), [Paper](https://arxiv.org/abs/1811.01343), [Code](https://github.com/danaberman/underwater-hl).\n- TURBID data: [Data](http://amandaduarte.com.br/turbid/), [Paper](https://ieeexplore.ieee.org/abstract/document/7485524).\n- OceanDark dataset: [Data](https://sites.google.com/view/oceandark/home), [Paper](https://www.mdpi.com/2313-433X/5/10/79).\n\n## SISR: Single Image Super-Resolution\n- USR-248: [Data](http://irvlab.cs.umn.edu/resources/usr-248-dataset), [Paper](https://arxiv.org/abs/1909.09437), [Code](https://github.com/xahidbuffon/srdrm). (for 2x, 4x, and 8x training; SRDRM, SRDRM-GAN)\n\n## RGB-D: Monocular Depth Estimation\n- USOD10k: [Data](https://github.com/LinHong-HIT/USOD10K), [Paper](https://ieeexplore.ieee.org/document/10102831). [UDepth paper](https://ieeexplore.ieee.org/abstract/document/10161471)\n\n\n## SESR: Simultaneous Enhancement and Super-Resolution\n- UFO-120: [Data](http://irvlab.cs.umn.edu/resources/ufo-120-dataset), [Paper](https://arxiv.org/pdf/2002.01155.pdf), [Code](https://github.com/xahidbuffon/Deep-SESR). (for 2x, 3x, and 4x SESR and saliency prediction; Deep SESR)\n\n\n## Image Segmentation\n- SUIM: [Data](http://irvlab.cs.umn.edu/resources/suim-dataset), [Paper](https://arxiv.org/pdf/2004.01241.pdf), [Code](https://github.com/xahidbuffon/SUIM-Net). (SUIM-Net)\n- Coral-Net: [Data](https://coralnet.ucsd.edu/), [Paper](https://onlinelibrary.wiley.com/doi/full/10.1002/rob.21915), [Code](https://github.com/Shathe/CoralSeg). (Coral-Seg)\n- Eilat: [Data](https://sites.google.com/a/unizar.es/semanticseg/), [Paper](https://www.nature.com/articles/srep23166.pdf).\n- Change detection: [Data](http://underwaterchangedetection.eu/index.html), [Paper](https://ieeexplore.ieee.org/document/7761129).\n- LIACI: [Data](https://liaci.sintef.cloud/), [Paper](https://ieeexplore.ieee.org/document/9998080).\n\n\n## SOD: Salient Object Detection\n- USOD10k: [Data](https://github.com/LinHong-HIT/USOD10K), [Paper](https://ieeexplore.ieee.org/document/10102831).\n- UFO-120: [Data](http://irvlab.cs.umn.edu/resources/ufo-120-dataset), [Paper](https://arxiv.org/pdf/2002.01155.pdf), [Code](https://github.com/xahidbuffon/Deep-SESR)\n- MUED database: [Data-1](https://zenodo.org/record/2542305#.X0YMt3UzY5k), [Data-2](https://zenodo.org/record/2542307#.X0YM53UzY5k), [Paper](https://www.sciencedirect.com/science/article/abs/pii/S1568494619302169)\n\n\n## Object Detection/Classification\n#### A. General\n- MOUSS data: [Data](https://www.viametoolkit.org/cvpr-2018-workshop-data-challenge/challenge-data-description/). (CVPR 2018 workshop challenge)\n- MBARI databse: [Data](https://www.mbari.org/products/data-repository/).\n- HabCam database: [Data](https://habcam.whoi.edu/).\n- OUC-vision: [Paper](https://ieeexplore.ieee.org/abstract/document/8019324).\n- MARIS project: [Data](http://rimlab.ce.unipr.it/Maris.html).\n- NOAA data: [Data](https://marineresearchpartners.com/nmfs_aiasi/DataSets.html).\n- Aqualoc dataset: [Data](http://www.lirmm.fr/aqualoc/), [Paper](https://arxiv.org/abs/1910.14532). (visual-inertial-pressure localization)\n- Brackish dataset: [Data](https://www.kaggle.com/aalborguniversity/brackish-dataset/data), [Paper](https://www.researchgate.net/publication/333972548_Detection_of_Marine_Animals_in_a_New_Underwater_Dataset_with_Varying_Visibility).\n- SUN database (underwater scenes): [Data](http://groups.csail.mit.edu/vision/SUN/).\n- FathomNet (image database): [Data](http://fathomnet.org/fathomnet/#/).\n\n\n#### B. Human-robot cooperation\n- Diver detection: [Data](http://irvlab.cs.umn.edu/resources), [Paper](https://ieeexplore.ieee.org/document/8543168).\n- Robot tracking by detection: [Data](http://www.cim.mcgill.ca/~mrl/), [Paper](https://ieeexplore.ieee.org/document/8206280).\n- CADDY diver pose data: [Data](http://caddy-underwater-datasets.ge.issia.cnr.it//CADDY-Underwater-Diver-Pose-Dataset), [Paper](https://www.mdpi.com/2077-1312/7/1/16).\n\n\n#### C. Coral-reef\n- Moorea corals (UCSD): [Data](http://vision.ucsd.edu/content/moorea-labeled-corals), [Paper](https://ieeexplore.ieee.org/abstract/document/6247798). \n- Coral-reef Puerto Rico: [Data](https://web.whoi.edu/singh/underwater-imaging/datasets/coral-reef-puerto-rico/).\n- Coral-Net: [Data](https://coralnet.ucsd.edu/).\n\n\n#### D. Fish\n- WildFish database: [Data](https://github.com/PeiqinZhuang/WildFish), [Paper](https://dl.acm.org/citation.cfm?id=3240616).\n- Labeled fishes: [Data](https://swfscdata.nmfs.noaa.gov/labeled-fishes-in-the-wild/), [Paper](https://ieeexplore.ieee.org/abstract/document/7046815).\n- Fish4Knowledge data: [Data](http://homepages.inf.ed.ac.uk/rbf/Fish4Knowledge/).\n- Fish database: [Data](http://www.fishdb.co.uk/).\n- AQUALIFEIMAGES database: [Data](http://www.aqualifeimages.com/).\n- Rockfish: [Data](https://web.whoi.edu/singh/underwater-imaging/datasets/rockfish/).\n- Fish recognition data: [Data](http://groups.inf.ed.ac.uk/f4k/GROUNDTRUTH/RECOG/), [Paper](https://homepages.inf.ed.ac.uk/rbf/PAPERS/PID2432553.pdf).\n- Oceanwide images: [Data](http://www.oceanwideimages.com/).\n- Fish detection and tracking: [Data](http://www.perceivelab.com/index-dataset.php?name=Fish_Detection), [Paper](http://groups.inf.ed.ac.uk/f4k/PAPERS/MTAP-Perla.pdf).\n- Fish trajectory detection: [Data](http://groups.inf.ed.ac.uk/f4k/GROUNDTRUTH/BEHAVIOR/), [Paper](http://www.bmva.org/bmvc/2013/Papers/paper0021/paper0021.pdf).\n\n\n#### E. Trash and marine debris\n- TrashCan: [Data](https://conservancy.umn.edu/handle/11299/214865), [Paper](https://arxiv.org/abs/2007.08097)\n- Trash-ICRA19: [Data](https://conservancy.umn.edu/handle/11299/214366), [Paper](https://ieeexplore.ieee.org/document/8793975)\n- Deep-sea debris database: [Data](http://www.godac.jamstec.go.jp/catalog/dsdebris/e/index.html), [Paper](https://ieeexplore.ieee.org/abstract/document/8793975).\n- Tiny plastics posing threat to turtles: [Data](https://www.dropbox.com/sh/53jzl8w8smydrdb/AAC_oST5MGxJ2VL-rcoTpxhXa), [Paper](http://europepmc.org/abstract/med/29475719).\n\n\n## 6. Acoustic Data\n- Five-element acoustic dataset: [Data](http://users.ece.utexas.edu/~bevans/projects/underwater/datasets/), [Paper](http://users.ece.utexas.edu/~bevans/projects/underwater/datasets/ARLUT_01_doc_01.pdf).\n- DIDSON dataset: [Data1](https://osf.io/sxek6/), [Data2](https://osf.io/xy32d/), [Data3](https://figshare.com/collections/An_Underwater_Observation_Dataset_for_Fish_Classification_and_Fishery_Ecology/4039202), [Paper](https://www.nature.com/articles/sdata2018190). (fishery classification and assessment)\n- Spectrogram Analysis: [Data](https://sites.google.com/site/tomalampert/data-sets?authuser=0), [Paper](https://www.sciencedirect.com/science/article/pii/S0031320312004712).\n- Caves sonar and vision data: [Data](https://cirs.udg.edu/caves-dataset/), [Paper](https://journals.sagepub.com/doi/pdf/10.1177/0278364917732838).\n\n## Stereo Data\n- Tasmania coral point, Scott reef-25, O'Hara-7: [Data](http://marine.acfr.usyd.edu.au/datasets/index.html), [Paper](https://ieeexplore.ieee.org/abstract/document/5652480).\n- Stereo from Flicker: [Data](http://webee.technion.ac.il/~yoav/research/flicker.html), [Paper](https://ieeexplore.ieee.org/abstract/document/6528294).\n- CADDY stereo data: [Data](http://caddy-underwater-datasets.ge.issia.cnr.it/), [Paper](https://www.mdpi.com/2077-1312/7/1/16).\n- HIMB data for UWStereoNet: [Data](https://github.com/kskin/data), [Paper](https://ieeexplore.ieee.org/abstract/document/8794272). (UW-StereoNet)\n- SQUID dataset: [Data](http://csms.haifa.ac.il/profiles/tTreibitz/datasets/ambient_forwardlooking/index.html), [Paper](https://arxiv.org/abs/1811.01343)\n\n\n## Docking Data\n- Underwater Docking Images Dataset(UDID): [Data](http://vision.is.tohoku.ac.jp/~liushuang/a-vision-based-underwater-docking-system/dataset/), [Paper](https://arxiv.org/abs/1712.04138).\n\n## Temperature Data\n- Underwater temperature dataset: [Data](https://www.seanoe.org/data/00510/62120/).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxahidbuffon%2FAwesome_Underwater_Datasets","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fxahidbuffon%2FAwesome_Underwater_Datasets","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxahidbuffon%2FAwesome_Underwater_Datasets/lists"}