/Image-Segemntation-CamVid

Primary LanguageJupyter Notebook

Image-Segementation-CamVid

Data

  • The Cambridge-driving Labeled Video Database (CamVid) provides ground truth labels that associate each pixel with one of 32 semantic classes. This dataset is often used in (real-time) semantic segmentation research.

  • CamVid Data

Model

  • The model used in this project is Segnet model
  • SegNet is a semantic segmentation model. This core trainable segmentation architecture consists of an encoder network, a corresponding decoder network followed by a pixel-wise classification layer.