11 datasets found

A dataset for urban scene understanding, containing 360-degree fisheye images with annotations for various tasks.

A dataset for urban scene understanding in 2D and 3D.

The Synthia dataset is a large-scale urban scene understanding dataset, containing 9000 samples. It is used for semantic segmentation tasks.

The Foggy Cityscapes dataset is an extension to the Cityscapes dataset, containing 5k diverse real-world urban driving scenes with fog.

The KITTI-360 dataset is an extension of the KITTI dataset, containing 10 new sequences recorded in 2013, with a focus on 360-degree views.

A dataset for urban scene understanding.

The Cityscapes dataset is a task for urban scene understanding.

Cityscapes dataset is a large-scale urban scene dataset containing 30,000 images of street scenes.

The Cityscapes dataset is a large-scale urban scene dataset containing over 25,000 images.

The BDD100k dataset is a large-scale driving dataset containing 100,000 images of various weather conditions, including clear, rainy, foggy, and night-time.

The Cityscapes dataset is a large and famous city street scene semantic segmentation dataset. 19 classes of which 30 classes of this dataset are considered for training and...