Datasets:
license: apache-2.0
task_categories:
- image-segmentation
pretty_name: IPL-PETS-Illuminants-dataset
size_categories:
- n<1K
tags:
- image
- image-segmentation
IPL-PETS-Illuminants-dataset
Illuminant modified dataset version of the famous Oxford-IIIT Pet Dataset semantic segmentation dataset in grayscale.
Dataset generation
For each image, we first convert it to grayscale. We then generate a flat (constant) light spectrum and compute the pixel reflectances that obtain the RGB 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 images. For each original image we generate 120 modified versions (20 colors and 6 saturations).
Dataset structure
The Original folder contains the original 100 images in color are in grayscale asn their corresponding segmentation ground truth masks. The Illuminant_changed_images_grayscale 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 X_tono_T_sat_S.png, where X is the image index from 0 to 99, 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 320 Mb.