Self-driving vehicles are cars or trucks in which human drivers are never required to take control to safely operate the vehicle. Also known as autonomous or “driverless” cars, they combine sensors and software to control, navigate, and drive the vehicle.
This workshop will be divided to 2 parts, the first one is a presentation about the lessons learned from taking Udacity's Self Driving car nano degree and the second part is a hands-on coding lab on object detection, mainly applied to detect moving cars on the road.
The presentation slides are available here
Computer Vision workshop: How to train an object detection model with TensorFlow
Code for training object detection with TensorFlow on Google Colab can be found here
Code for running object detection inference with TensorFlow on Google Colab can be found here
To edit the code, click "COPY TO DRIVE" or File then Save a copy in Drive…
Happy coding 💻
The workshop was recorded and uploaded to YouTube
The presentation and the theory part was prepared and presented by Leon Lahoud and the technical workshop was prepared and presented by Christophe Zoghbi