This an improved version of awesome underwater dataset by adding underwater visual algorithms.

Image Enhancement, Color Correction & Restoration

• [1]·[UIE Dataset] Data, Paper (unpaired data; WSUIE)
• [2]·[EUVP Dataset] Data, Paper, Code. (paired and unpaired data; FUnIE-GAN)
• [3]·[Underwater Imagenet] Data, Paper, Code. (paired data; UGAN)
• [4]·[UIEBD Dataset] Data, Paper, Code. (Water-Net)
• [5]·[SQUID Dataset] Data, Paper, Code. (Underwater-HL)
• [6]·[U-45] Data, Paper. (UDAE)
• [7]·[RUIE Benchmark] Data, Paper. (RUIE-Net)
• [8]·[Jamaica Port Royal] Data, Paper, Code. (Water-GAN)
• [9]·[Virtual Periscope] Data, Paper.
• [10]·[Color Correction] Data.
• [11]·[Color Restoration] Data, Paper, Code.
• [12]·[TURBID Data] Data, Paper.
• [13]·[OceanDark Dataset] Data, Paper.

SISR: Single Image Super-Resolution

• USR-248: Data, Paper, Code. (for 2x, 4x, and 8x training; SRDRM, SRDRM-GAN)

RGB-D: Monocular Depth Estimation

• USOD10k: Data, Paper. UDepth paper

SESR: Simultaneous Enhancement and Super-Resolution

• UFO-120: Data, Paper, Code. (for 2x, 3x, and 4x SESR and saliency prediction; Deep SESR)

Image Segmentation

• SUIM: Data, Paper, Code. (SUIM-Net)
• Coral-Net: Data, Paper, Code. (Coral-Seg)
• Eilat: Data, Paper.
• Change detection: Data, Paper.
• LIACI: Data, Paper.

SOD: Salient Object Detection

• USOD10k: Data, Paper.
• UFO-120: Data, Paper, Code
• MUED database: Data-1, Data-2, Paper

Object Detection/Classification

A. General

• MOUSS data: Data. (CVPR 2018 workshop challenge)
• MBARI databse: Data.
• HabCam database: Data.
• OUC-vision: Paper.
• MARIS project: Data.
• NOAA data: Data.
• Aqualoc dataset: Data, Paper. (visual-inertial-pressure localization)
• Brackish dataset: Data, Paper.
• SUN database (underwater scenes): Data.
• FathomNet (image database): Data.

B. Human-robot cooperation

• Diver detection: Data, Paper.
• Robot tracking by detection: Data, Paper.
• CADDY diver pose data: Data, Paper.

C. Coral-reef

• Moorea corals (UCSD): Data, Paper.
• Coral-reef Puerto Rico: Data.
• Coral-Net: Data.

D. Fish

• WildFish database: Data, Paper.
• Labeled fishes: Data, Paper.
• Fish4Knowledge data: Data.
• Fish database: Data.
• AQUALIFEIMAGES database: Data.
• Rockfish: Data.
• Fish recognition data: Data, Paper.
• Oceanwide images: Data.
• Fish detection and tracking: Data, Paper.
• Fish trajectory detection: Data, Paper.

E. Trash and marine debris

• TrashCan: Data, Paper
• Trash-ICRA19: Data, Paper
• Deep-sea debris database: Data, Paper.
• Tiny plastics posing threat to turtles: Data, Paper.

6. Acoustic Data

• Five-element acoustic dataset: Data, Paper.
• DIDSON dataset: Data1, Data2, Data3, Paper. (fishery classification and assessment)
• Spectrogram Analysis: Data, Paper.
• Caves sonar and vision data: Data, Paper.

Stereo Data

• Tasmania coral point, Scott reef-25, O'Hara-7: Data, Paper.
• Stereo from Flicker: Data, Paper.
• CADDY stereo data: Data, Paper.
• HIMB data for UWStereoNet: Data, Paper. (UW-StereoNet)
• SQUID dataset: Data, Paper

Docking Data

• Underwater Docking Images Dataset(UDID): Data, Paper.

Temperature Data

• Underwater temperature dataset: Data.

Acknowledgement

• Thanks for the previous work done by Prof. Md Jahidul Islam.