DRIVE Dataset: The DRIVE dataset consists of 40 fundus images collected from 7 patients with retinal disease and 33 healthy individuals. Each image has a resolution of 584 × 565 pixels. A total of 20 images are used for training, while the remaining 20 images are designated for testing. Each image has two annotations provided by two different experts, and we use the first annotation as the ground truth.
DRIVE Dataset: The DRIVE dataset consists of 40 fundus images collected from 7 patients with retinal disease and 33 healthy individuals. Each image has a resolution of 584 × 565 pixels. A total of 20 images are used for training, while the remaining 20 images are designated for testing. Each image has two annotations provided by two different experts, and we use the first annotation as the ground truth.
This dataset is in support of my 3 research papers 'Comparative Analysis of 72 Flyback Transformers on 5τ Non-linear Battery with Loss Functions - Part I', 'Comparative Analysis of 72 Flyback Transformers on 5τ Non-linear Battery with Loss Functions - Part II' and 'Comparative Analysis of 72 Flyback Transformers on 5τ Non-linear Battery with Loss Functions - Part III'.
Preprint :
