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MSRA10K Salient Object Database
2D Box
2D Polygon
许可协议: Unknown

Overview

The MSRA Salient Object Database, which originally provides salient object annotation in terms of bounding boxes provided by 3-9 users, is widely used in salient object detection and segmentation community. Although an invaluable recourse to evaluate saliency detection algorithms, the database with the marked bounding boxes, however, is often too coarse for fine grained evaluation as observed by Wang and Li [ICASSP 2008], and Achanta et al. [CVPR 2009]. In order to do more extensive and accurate evaluation, we randomly selected 10,000 images with consistent bounding box labeling in MSRA database. We call this dataset MSRA10K because it contains 10,000 images with pixel-level saliency labeling for 10K images from MSRA dataset. In our experiments, we find that saliency detection methods using pixel level contrast (FT, HC, LC, MSS) do not scale well on this lager benchmark, suggesting the importance of region level analysis.

数据概要
数据格式
image,
数据量
10K
文件大小
--
| 数据量 10K | 大小 --
MSRA10K Salient Object Database
2D Box 2D Polygon
许可协议: Unknown

Overview

The MSRA Salient Object Database, which originally provides salient object annotation in terms of bounding boxes provided by 3-9 users, is widely used in salient object detection and segmentation community. Although an invaluable recourse to evaluate saliency detection algorithms, the database with the marked bounding boxes, however, is often too coarse for fine grained evaluation as observed by Wang and Li [ICASSP 2008], and Achanta et al. [CVPR 2009]. In order to do more extensive and accurate evaluation, we randomly selected 10,000 images with consistent bounding box labeling in MSRA database. We call this dataset MSRA10K because it contains 10,000 images with pixel-level saliency labeling for 10K images from MSRA dataset. In our experiments, we find that saliency detection methods using pixel level contrast (FT, HC, LC, MSS) do not scale well on this lager benchmark, suggesting the importance of region level analysis.

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