Forward-facing driving footage for perception teams, with privacy protection applied before any frame leaves Tavnit.
What's included
- 9,500 hours of 1080p dashcam video at 30 frames per second
- 1.1 million scenario clips tagged by road type, weather, lighting and events such as cut-ins, cyclists, pedestrians crossing and roadworks
- Coarse location at city level and speed bands, without vehicle traces
- Optional labelled subsets with 2D boxes for vehicles, cyclists, pedestrians, signs and traffic lights
How buyers use it
- Training and validating driver-assistance and dashcam analytics models
- Mining rare scenarios, such as night rain or roundabout cut-ins, for evaluation sets
- Domain adaptation for markets with Mediterranean and Central European road layouts
- Testing video compression and edge inference under real conditions
Coverage and methodology
Footage comes from forward-facing cameras on delivery vans and taxis operated by partner fleets in Israel, Germany, the Netherlands, Spain and Italy. Fleet operators consent to collection and inform their drivers. Every frame passes automated face and licence-plate blurring, and a second annotator verifies blurring on sampled frames, with audited recall of 99.6%. GPS is coarsened to city level and timestamps to the hour, so trips cannot be followed. The dataset may not be used for facial recognition, plate recognition or tracking people or vehicles.