水下图像常用数据集整理

February 28, 2021

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## 1.图像增强，色彩校正，还原

* EUVP dataset: [Data](http://irvlab.cs.umn.edu/resources/euvp-dataset).
* Underwater imagenet:[Data](http://irvlab.cs.umn.edu/resources/).
* U-45: [Data](https://github.com/IPNUISTlegal/underwater-test-dataset-U45-).
* RUIE benchmark: [Data](https://github.com/dlut-dimt/Realworld-Underwater-Image-Enhancement-RUIE-Benchmark).
* UIEBD dataset: [Data](https://li-chongyi.github.io/proj_benchmark.html).
* Jamaica port royal: [Data](https://github.com/kskin/data).
* Virtual periscope: [Data](http://webee.technion.ac.il/~yoav/research/random_distort.html).
* Color correction: [Data](https://web.whoi.edu/singh/underwater-imaging/datasets/color-correction/).
* Color restoration: [Data](http://csms.haifa.ac.il/profiles/tTreibitz/datasets/ambient_forwardlooking/index.html).
* TURBID data: [Data](http://amandaduarte.com.br/turbid/).
* OceanDark dataset: [Data](https://sites.google.com/view/oceandark/home).

## 2.图像超分辨率

* USR-248: [Data](http://irvlab.cs.umn.edu/resources/usr-248-dataset).
* UFO-120: [Data](http://irvlab.cs.umn.edu/resources/ufo-120-dataset).

## 3.图像分割

* Eilat dataset: [Data](https://sites.google.com/a/unizar.es/semanticseg/).
* Change detection: [Data](http://underwaterchangedetection.eu/index.html).

## 4.目标检测/分类

* WildFish: [Data](https://github.com/PeiqinZhuang/WildFish).
* Labeled fishes in the wild: [Data](https://swfscdata.nmfs.noaa.gov/labeled-fishes-in-the-wild/).
* Fish4Knowledge: [Data1](http://homepages.inf.ed.ac.uk/rbf/Fish4Knowledge/),[Data2](http://groups.inf.ed.ac.uk/f4k/GROUNDTRUTH/RECOG/),[Data3](http://groups.inf.ed.ac.uk/f4k/GROUNDTRUTH/BEHAVIOR/).
* Fish database: [Data](http://www.fishdb.co.uk/).
* AQUALIFEIMAGES: [Data](http://www.aqualifeimages.com/).
* Rockfish: [Data](https://web.whoi.edu/singh/underwater-imaging/datasets/rockfish/).
* Fish detection and tracking: [Data](http://www.perceivelab.com/index-dataset.php?name=Fish_Detection).

Last modification：March 8, 2021