SQUID (Stereo Quantitative Underwater Image Dataset)

Introduced by Berman et al. in Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset

A dataset of images taken in different locations with varying water properties, showing color charts in the scenes. Moreover, to obtain ground truth, the 3D structure of the scene was calculated based on stereo imaging. This dataset enables a quantitative evaluation of restoration algorithms on natural images.

Source: Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset

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