A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics (2001)
Cached
Download Links
- [www.cs.berkeley.edu]
- [www.ics.uci.edu]
- [www.cs.berkeley.edu]
- [www.cs.berkeley.edu]
- [www.eecs.berkeley.edu]
- [pel.cs.byu.edu]
- [www.cs.berkeley.edu]
- [vision.bc.edu]
- DBLP
Other Repositories/Bibliography
| Venue: | in Proc. 8th Int’l Conf. Computer Vision |
| Citations: | 365 - 14 self |
BibTeX
@INPROCEEDINGS{Martin01adatabase,
author = {David Martin and Charless Fowlkes and Doron Tal and Jitendra Malik},
title = {A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics},
booktitle = {in Proc. 8th Int’l Conf. Computer Vision},
year = {2001},
pages = {416--423}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
This paper presents a database containing ‘ground truth ’ segmentations produced by humans for images of a wide variety of natural scenes. We define an error measure which quantifies the consistency between segmentations of differing granularities and find that different human segmentations of the same image are highly consistent. Use of this dataset is demonstrated in two applications: (1) evaluating the performance of segmentation algorithms and (2) measuring probability distributions associated with Gestalt grouping factors as well as statistics of image region properties. 1.
