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Daimler Pedestrian Segmentation Benchmark
创建来自Hello Dataset
概要
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Overview

Our dataset consist of manually contour-labeled pedestrian images captured from a vehicle-mounted calibrated stereo camera rig in an urban environment. For each pedestrian cutout we provide a 24 bit PNG image, a float disparity map and a ground truth shape.
Dense stereo is computed using the semi-global matching algorithm (H. Hirschmueller, Stereo processing by semi-global matching and mutual information, IEEE Trans. on PAMI, 30(2) :328-341, 2008).

Data Format

The 785 image cut-outs have a height between 34 and 468 pixels and a width between 11 and 267 pixels. In our BMVC’13 publication only samples with a height greater than 120 pixels are used. We provide the samples with an additional 10 % border to each side.

License

Custom

🎉感谢Hello Dataset的贡献
数据集信息
应用场景PersonAutonomous Driving
标注类型Semantic Segmentation 2DDisparity
任务类型暂无
LicenseCustom
更新时间2021-03-24 22:56:38
数据概要
数据格式Image
数据数量0
已标注数量0
文件大小52KB
版权归属方
Daimler AG
标注方
未知
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