IPL-CityscapesIlluminants-dataset

Illuminant modified dataset version of the famous autonomous driving semantic segmentation Cityscapes dataset.

Dataset generation

For each image, 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 100 Cityscapes images and the labels folder contains the corresponding ground truth segmentation masks. The modified_images folder have 100 subfolders from image_1 to image_100. 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. The complete dataset has a size of 30 Gb.

image imagewidth (px) 2.05k 2.05k