Data for Improvements

How to help Swarm improve AI object detection and tracking

As Swarm uses Artificial Intelligence for detecting objects (e.g. cars) and then to track them, we rely on the real-world data to diagnose issues, train our models and then test their accuracy. The more real-world data we have, the better we can diagnose issues and improve results for your specific real-world scenarios.

This documentation provides details on how you can help in this process.

There is three methods:

  1. Recording Source Videos - helps with training and testing

  2. Recording Debug Mode - helps with diagnosing issues

  3. Automatic Frame Capture - requires no effort, but helps with training