Object detection for glaucoma diagnosis can be implemented with images semantic segmentation using Convolutional Neural Network (CNN). Advantage of CNN is able to identify objects in digital images with high accuracy level. One of architecture which used to use in images semantic segmentation is SegNet. This study did the implementation of DenSeg-Net architecture which is modification of SegNet…