Foggy Cityscapes

Introduced by Sakaridis et al. in Semantic Foggy Scene Understanding with Synthetic Data

Foggy Cityscapes is a synthetic foggy dataset which simulates fog on real scenes. Each foggy image is rendered with a clear image and depth map from Cityscapes. Thus the annotations and data split in Foggy Cityscapes are inherited from Cityscapes.

Source: Exploring Object Relation in Mean Teacher for Cross-Domain Detection

Homepage

Benchmarks

Add a new result Link an existing benchmark

Task	Dataset Variant	Best Model
Unsupervised Domain Adaptation	Cityscapes to Foggy Cityscapes	ALDI++
Image-to-Image Translation	Cityscapes-to-Foggy Cityscapes	MIC
Weakly Supervised Object Detection	Cityscapes-to-Foggy Cityscapes	MEAA
Domain Adaptation	Foggy Cityscapes	MILA
Foggy Scene Segmentation	Foggy Cityscapes	BWG