Skip to content

Image Semantic Segmentation with different models on different datasets

Notifications You must be signed in to change notification settings

raziehkaviani/SemanticSegmentation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

54 Commits
 
 
 
 
 
 
 
 

Repository files navigation

SemanticSegmentation

Image Semantic Segmentation with different models (e.g. DeeplabV3+ and HRNetV2) on different datasets (e.g. Cityscapes, Camvid, BDD100k, IDD)

Pre-requisites

  • Python 3.6
  • PyTroch 1.5
  • Numpy 1.18
  • Scipy 1.6.3
  • Scikit-learn 0.23.1
  • Opencv-python 4.2

Dataset

The code uses the following datasets:

  1. Cityscapes
  2. Camvid
  3. BDD100k
  4. Indian Driving Dataset (IDD)

Pretrained models

  • The pretrained DeeplabV3+ on BDD100K dataset model
  • The pretrained DeeplabV3+ on Indian Driving Dataset (IDD) dataset model

Contact

Razieh Kaviani Baghbaderani (rkavian1@vols.utk.edu)

About

Image Semantic Segmentation with different models on different datasets

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published