Datasets › Daimler Monocular Pedestrian Detection
Daimler Monocular Pedestrian Detection
The Daimler Monocular Pedestrian Detection dataset is a dataset for pedestrian detection in urban environments. The training set contains 15560 pedestrian samples (image cut-outs at 48×96 resolution) and 6744 additional full images without pedestrians for extracting negative samples. The test set contains an independent sequence with more than 21790 images and 56492 pedestrian labels (fully visible or partially occluded), captured from a vehicle during a 27 min driving through the urban traffic.
Source: A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis Image Source: http://www.gavrila.net/Datasets/Daimler_Pedestrian_Benchmark_D/Daimler_Mono_Ped__Detection_Be/daimler_mono_ped__detection_be.html
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Daimler Monocular Pedestrian Detection
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections