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A Database of Human Segmented Natural Images and Its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics

David R. Martin, Charless C. Fowlkes, Doron Tal, Jitendra Malik
ICCV 2001 pp. 416-425
doi:10.1109/ICCV.2001.937655 /iccv/2001/martin2001iccv-database/

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.

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Text

Martin et al. "A Database of Human Segmented Natural Images and Its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics." IEEE/CVF International Conference on Computer Vision, 2001. doi:10.1109/ICCV.2001.937655

Markdown

[Martin et al. "A Database of Human Segmented Natural Images and Its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics." IEEE/CVF International Conference on Computer Vision, 2001.](https://mlanthology.org/iccv/2001/martin2001iccv-database/) doi:10.1109/ICCV.2001.937655

BibTeX

@inproceedings{martin2001iccv-database,
  title     = {{A Database of Human Segmented Natural Images and Its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics}},
  author    = {Martin, David R. and Fowlkes, Charless C. and Tal, Doron and Malik, Jitendra},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2001},
  pages     = {416-425},
  doi       = {10.1109/ICCV.2001.937655},
  url       = {https://mlanthology.org/iccv/2001/martin2001iccv-database/}
}