Nexar’s real-world footage is highly effective for training deep learning models


Train your models with the largest crowd-sourced dataset of HD images and videos of streets and roads

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Leverage Nexar’s images and videos, such as near misses, other edge cases and change detection or the best training outcomes.

The world as it is, ready for training

Nexar collects data from 130 Million Miles monthly, with a dataset of 3.2 trillion images. This data is is invaluable data for AV training. Our network creates a constant flow of context rich images and video, with added sensor and geo-spatial data, from images of collisions, near collisions, busy intersections and the world around us.
The world as it is, ready for training

Improve Your
Model’s Performance

All Nexar images and videos are automatically localized on the map and filtered for quality. Additional sensor data is also made available with the right time stamps and additional context and metadata.

Nexar dash cams “see” them all

  • From near-misses and low-impact collisions (fender bender) to high impact collisions (car crashes)
  • Provide valuable visual data edge cases such as collisions, including positional information of drivers, hard brakes, lane drift etc.
  • Identify real-world changes that affect AVs, such as construction zones, road sign changes, road blockage, lanes and more.
  • Includes diverse data across hours, days and months, weather conditions and seasons, geo-location and additional variables.
Nexar dash cam detects a stop sign

Visual Data

Dash cam users contribute data, images and video of the world

Fresh Data
and Images

Frequent use ensures a constant stream of up to date vision


Our unique data can be just what you need to stand out from the competition


We see the world just like humans do, not like a traffic camera

through time

Our constant vision stream lets you check what happened in the past

of users

Our data is always anonymized and compliant, so the source of an image, license plates, faces, etc. cannot be identified