Skip to content

Labeled the pixels of a road in images using a Fully Convolutional Network (FCN).

Notifications You must be signed in to change notification settings

skc4/Semantic-Segmentation

Repository files navigation

Sementic-Segmentation

Kitti Road dataset and VGG16 model was used for this project.

Implemented Skip Connection to improve segmentation accuracy (The authors of this paper highly suggest to use the skip layers. skip layers

Adam Optimizer was used in this model with the learning rate of 0.0009.

The model labels most pixels of the road close to the best solution and achieves over 80% accuracy which was my initial goal.

Training Image

train

Segmented Image

1 2

About

Labeled the pixels of a road in images using a Fully Convolutional Network (FCN).

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages