The Cityscapes Dataset
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele. The Cityscapes Dataset for Semantic Urban Scene Understanding. Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, 2016. [ Download Preprint PDF – Download Supplemental PDF – arXiv – Cityscapes Webpage ]
This large-scale benchmark dataset for semantic urban scene understanding is made available for non-commercial purposes.
See this page for download and more information on the benchmark dataset.
Daimler Urban Segmentation Dataset
T. Scharwächter, M. Enzweiler, U. Franke and S. Roth. Efficient Multi-Cue Scene Segmentation. German Conference on Pattern Recognition (GCPR), Saarbrücken, Germany, 2013, (GCPR 2013 Main Prize). [ Publisher Link – Download Preprint PDF ]
T. Scharwächter, M. Enzweiler, U. Franke and S. Roth. Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding. European Conference on Computer Vision (ECCV), Zurich, Switzerland, 2014. [ Publisher Link – Download Preprint PDF ]
This benchmark dataset (training and test data) is made available for non-commercial purposes.
See this page for download and more information on the benchmark dataset.
Daimler Multi-Cue, Occluded Pedestrian Classification Benchmark
M. Enzweiler and D. M. Gavrila. A Multi-Level Mixture-of-Experts Framework for Pedestrian Classification. IEEE Transactions on Image Processing, vol. 20, no. 10, pp. 2967-2979, 2011. [ Publisher Link – Download Preprint PDF ]
M. Enzweiler, A. Eigenstetter, B. Schiele and D. M. Gavrila. Multi-Cue Pedestrian Classification with Partial Occlusion Handling. Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, USA, 2010. [ Publisher Link – Download Preprint PDF ]
This benchmark dataset (training and test data) is made available for non-commercial purposes.
See this page for download and more information on the benchmark dataset.
Daimler Pedestrian Detection Benchmark
M. Enzweiler and D. M. Gavrila. Monocular Pedestrian Detection: Survey and Experiments. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 31, no. 12, pp. 2179-2195, 2009. [ Publisher Link – Download Preprint PDF ]
C. G. Keller, M. Enzweiler and D. M. Gavrila. A New Benchmark for Stereo-Based Pedestrian Detection. IEEE Intelligent Vehicles Symposium, Baden-Baden, Germany, 2011. [ Publisher Link – Download Preprint PDF ]
The mono and stereo benchmark datasets (training and test data) are made available for non-commercial purposes.
See this page for download and more information on the pedestrian detection benchmark datasets.
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