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The backbone of OpenTrafficCam.

OTLabels is a workflow for retraining AI models to detect road users in videos based on custom video frames and existing open source software packages (CVAT, YOLO v8).

Key features

  • Annotation of custom video frames using existing open source software (CVAT)
  • Retrain existing neural network models with YOLO v8 for individual optimization of the detection ability
  • Runs on any Windows laptop. However, a decent GPU with CUDA support is strongly recommended.

Content of documentation

Most of the code describing the workflow will be developed by the OpenTrafficCam contributors (based on python libraries like NumPy, pandas, tkinter and OpenCV).