IPL-SUIM-Grayscale-Illuminants dataset

Illuminant modified dataset version of the grayscale underwater semantic segmentation SUIM dataset.

Dataset generation

For each image, we first convert it to grayscale. Then, we generate a flat (constant) light spectrum and compute the pixel reflectances that obtain the RGM pixel values. Once we have the pixel reflectances, we generate different light spectrums of different dominant wavelengths (colors) and saturations and compute the new modified images. We apply the method to 100 Cityscapes images. For each original image we generate 120 modified versions (20 colors and 6 saturations).

Dataset structure

The original_images folder contains the original 110 grayscale SUIM images. The modified_images folder have 110 subfolders from image_1 to image_110. Each subfolder has the 120 modified images for each original image. Modified images are named as image_name_X_tono_T_sat_S.png, where X is the image index from 1 to 100, T is the color index from 1 to 20 and S is the saturation index from 1 to 6. Labels (i.e. segmentation masks) can be obtained from the original SUIM dataset.