The DualModal2019 is a dual-modal fundus image dataset. It is for vessel, arteriole, and venule segmentation tasks. The dataset consists of five types of images: RGB color images, the 570 nm and 610 n
This benchmark dataset was created by combining three widely-used datasets: CHASEDB1, STARE, and DRIVE, to evaluate and enhance the performance of blood vessel segmentation models in fundus images. Th
