graviti
PlatformMarketplaceSolutionsResourcesOpen DatasetsCommunityCompany
454
0
0
General
SDK
Activities
c77bc2d4-8cd1-11eb-88ae-0e1f58...
49ae6ae·
Jun 20, 2021 12:29 PM
·1Commits

Overview

Although images from MSRA-1000 have a large variety in their content, background structures are primarily simple and smooth. To represent the situations that natural images generally fall into, we extend our Complex Scene Saliency Dataset (CSSD) in a larger dataset (ECSSD) with 1000 images, which includes many semantically meaningful but structurally complex images for evaluation. The images are acquired from the internet and 5 helpers were asked to produce the ground truth masks. Several examples with their corresponding masks are shown above.

Citation

@inproceedings{yan2013hierarchical,
  title={Hierarchical saliency detection},
  author={Yan, Qiong and Xu, Li and Shi, Jianping and Jia, Jiaya},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1155--1162},
  year={2013}
}
🎉Many thanks to Graviti Open Datasets for contributing the dataset
Basic Information
Application ScenariosNot Available
AnnotationsNot Available
TasksNot Available
LicenseUnknown
Updated on2021-01-20 03:56:52
Metadata
Data TypeNot Available
Data Volume0
Annotation Amount0
File Size0.00B
Copyright Owner
Department of Computer Science and Engineering, The Chinese University of Hong Kong
Annotator
Unknown