KITTI_SEMSEG_UNIZG
-
the dataset is suitable for semantic segmentation experiments
-
we hand-picked a subset of 450 images from the KITTI dataset:
-
the images are semantically annotated into 11 classes
-
annotations feature high quality pixel-level
polygonal approximations
-
this is an extension of the work from
UAB Barcelona:
-
we improve annotation accuracy of the original 146 images
-
we annotate additional 299 images from scratch
-
we supply dense state-of-the-art disparities for each image
|
|