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PASCAL-Person-Part
Human parsing aims to segment a human image into multiple semantic parts. It is a pixel-level prediction task which requires to understand human images in both the global level... -
COCO Dataset
The COCO dataset is a large-scale dataset for object detection, semantic segmentation, and captioning. It contains 80 object categories and 1,000 image instances per category,... -
GTA5→Cityscapes
The GTA5→Cityscapes dataset is a synthetic-to-real benchmark dataset for domain adaptation in semantic segmentation. -
Cityscapes
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... -
KITTI dataset
The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding... -
Highway dataset
A dataset of highways used to test the generalization of a deep neural network for semantic segmentation of road maps from remission grid maps. -
UFES dataset
A dataset of tens of kilometers of manually marked road lanes used to train a deep neural network for semantic segmentation of road maps from remission grid maps. -
KITTI 2015
The KITTI 2015 dataset is a real-world dataset of street views, containing 200 training stereo image pairs with sparsely labeled disparity from LiDAR data.