Datasets › PVDN
PVDN (Provident Vehicle Detection at Night)
PVDN is a dataset of vehicle detection at night, using light reflections caused by their headlamps. It contains 59,746 annotated grayscale images out of 346 different scenes in a rural environment at night. In these images, all oncoming vehicles, their corresponding light objects (e. g., headlamps), and their respective light reflections (e. g., light reflections on guardrails) are labeled. With this information, this dataset enables research into new methods of detecting oncoming vehicles based on the light reflections they cause, long before they are directly visible.
Source: Provident Vehicle Detection at Night: The PVDN Dataset
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
1 loader as listed in the archive; links are outbound and not re-checked here.
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
- PVDN
1 variant name, as the archive lists them.
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