Dataset Card for Seathru Dataset

Dataset Summary

This dataset consists of the ~1100 images, across 5 scenes, that were published as a part of the Akkaynak & Treibitz CVPR 2019 paper. You may download the paper from here --> https://openaccess.thecvf.com/content_CVPR_2019/papers/Akkaynak_Sea-Thru_A_Method_for_Removing_Water_From_Underwater_Images_CVPR_2019_paper.pdf.

There are 5 datasets (D1-D5). Each dataset consists of 1) N linear images with no color correction, and 2) N depth maps corresponding to each image. N is different for each dataset, please see paper for details.

Each of the 5 scenes are chosen according to different feature that is important in underwater imaging; e.g., the imaging distance between the camera and the scene, camera looking forward or downward, different optical conditions, etc. See paper for details of each dataset.

Each set consists of multiple overlapping images so it is possible to build a 3D model of the scene using SFM, which is indeed what we have done to obtain the depth maps corresponding to each image using Agisoft Metashape Pro.

For space constraints, instead of the original RAW files, we provide linear images in PNG format. These images have been scaled in size to be 0.3 of the original size. If you have a need for the actual RAW images, please get in touch.

The zero values in depth maps should be interpreted as NaNs, for which no depth information was possible to calculate. Zero is not a valid depth value. The depth maps are scaled (in meters).

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

Data Instances

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Data Fields

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Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

This dataset was shared by @colorlabeilat

Licensing Information

The license for this dataset is cc-by-nc-sa-4.0

Citation Information

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Contributions

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