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Daimler Pedestrian Segmentation Benchmark
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update dataset overview and ba...
a49da3c·
Feb 10, 2022 7:38 AM
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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.

🎉Many thanks to Graviti Open Datasets for contributing the dataset
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Updated on2022-02-10 07:38:05
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Copyright Owner
Daimler AG
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Unknown