isp-uv-es/IPL-Cityscapes-LuminanceContrasts
IPL-CityscapesLuminanceContrasts-dataset Controled luminance and contrasts modified dataset version of the famous autonomous driving semantic segmentation Cityscapes dataset. Dataset generation For each original image, we convert it to ATD color space. Once in this space, we compute its mean luminance, achromatic contrast and chromatic contast. We modify each of its characteristics in turns from 0.5 to 1.5 of its original value. Then we return the image to RGB… See the full description on the dataset page: https://huggingface.co/datasets/isp-uv-es/IPL-Cityscapes-LuminanceContrasts.
IPL-CityscapesLuminanceContrasts-dataset
Controled luminance and contrasts modified dataset version of the famous autonomous driving semantic segmentation Cityscapes dataset.
Dataset generation
For each original image, we convert it to ATD color space. Once in this space, we compute its mean luminance, achromatic contrast and chromatic contast. We modify each of its characteristics in turns from 0.5 to 1.5 of its original value. Then we return the image to RGB space. We apply it to 100 Cityscapes images.
Dataset structure
The originalimages folder contains the original 100 Cityscapes images and the labels folder contains the corresponding ground truth segmentation masks. The modified images are in the modifiedimages folder. This folder has 11 subfolder according to the modified chromatic contrast. The complete dataset has a size of 1 Gb.