This benchmark database is used for small target detection in the following paper:
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Jing Lou, Wei Zhu, Huan Wang, Mingwu Ren, "Small Target Detection Combining Regional Stability and Saliency in a Color Image," Multimedia Tools and Applications, vol. 76, no. 13, pp. 14781-14798, 2017. doi:10.1007/s11042-016-4025-7
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Project page: http://www.loujing.com/rss-small-target/
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You can directly download the zipped file of the database: Benchmark.zip.
Copyright (C) 2016 Jing Lou (楼竞)
The usage of this data and code is restricted for non-profit research usage only and using of the code is at the user's risk.
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This benchmark database contains three datasets (totally 1,093 color images). Each dataset folder includes the following subfolders:
Image
input color imageGT
ground truthMSER
RSS
two example models for reference
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This benchmark database provides the pixel-wise ground truth for each input image. In
GT
, each MAT file contains four properties of the ground truth target: Area, Boundary, Bounding Box, and Pixel List. -
You can use the MATLAB script Evaluation.m to evaluate your detection results. Please read the help text in the script for more details.