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Daimler Stereo Pedestrian Detection Benchmark
创建来自Hello Dataset
概要
代码
活动

Overview

This new benchmark extends the previously published Daimler Mono Pedestrian Detection Benchmark with

  • 7129 stereo image pairs not containing pedestrians in the training set, from which negative samples can be extracted (positive samples remain unchanged
  • images of the second camera for the test set (a sequence with more than 21.790 images with 56.492 pedestrian labels, fully visible or partially occluded, captured from a vehicle during a 27 min drive through urban traffic, at VGA resolution (640x480, uncompressed)).
  • vehicle speed and steering angle measurements for the test set, with the yaw rate derived.

Data Format

The dataset

  • specifies an evaluation setting (3D localization criterion, known ground plane, and sensor coverage area provides ROIs).
  • specifies performance metrics both at the frame- and trajectory-level (the latter also allows benchmarking of tracking algorithms).
  • provides the baseline performance of a state-of-the-art method (HOG/linSVM) on the specified training and test set.
  • is “open”: both training and test set are public and (freely) available for non-commercial purposes, see below..

License

Custom

🎉感谢Hello Dataset的贡献
数据集信息
应用场景PersonAutonomous Driving
标注类型Box2DBox3D
任务类型暂无
LicenseCustom
更新时间2021-03-24 22:48:35
数据概要
数据格式Image
数据数量0
已标注数量0
文件大小12MB
版权归属方
Daimler AG
标注方
未知
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