Skip to content

The code for semantic segmentation using different methods (FCN, UNET, DeepLab)

Notifications You must be signed in to change notification settings

mnl12/Semantic_Segmentation

Repository files navigation

Semantic_Segmentation

The code implements semantic segmentation using different methods (FCN, UNET, DeepLab) with Python and Tensorflow2.0

The algorithm is trained with Pacal-VOC. To test the algorithm , run test.py, you should download the dataset from http://host.robots.ox.ac.uk:8080/pascal/VOC/voc2012/ and change the db_path in the code accordingly.

About

The code for semantic segmentation using different methods (FCN, UNET, DeepLab)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages