Features

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

• Training
• Validation
• Models

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