Car Key-Points Detection Using MobileNet v1

Project information

Summary

  • Aim of this project is to predict key-points of windshield and headlights for a given car image.
  • MobilNet v1 with imageNet weight is used as backbone network with few additional layers. All layers are set to trained.
  • Number of epochs trained on are 20.
  • Number of model parameters are 24 million.
  • Number of images trained on 90, with augmentation 9000.