 Glaucoma is a chronic eye disease that can cause permanent vision loss if left untreated. This condition arises due to an abnormality in the drainage of fluid within the eye, leading to increased intraocular pressure and damage to the optic nerve. Ophthalmologists must monitor the retina regularly for signs of glaucoma, requiring expertise and experience to accurately interpret the results. Deep learning algorithms have been developed to detect glaucoma through retinal fundus imagery, analyzing the optic nerve and other retinal structures. These algorithms have demonstrated great potential in improving the speed and accuracy of glaucoma diagnosis. This article was authored by Muhammad J. M. Zaidan, Muhammad Asraf Sulkifli, Amadis Rolibraheem and others.