bob.ip.binseg.data.refuge¶
REFUGE for Optic Disc and Cup Segmentation
The dataset consists of 1200 color fundus photographs, created for a MICCAI challenge. The goal of the challenge is to evaluate and compare automated algorithms for glaucoma detection and optic disc/cup segmentation on a common dataset of retinal fundus images.
Reference (including train/dev/test split): [REFUGE-2018]
Protocols
optic-disc
andcup
:Training samples:
400
includes optic-disc and cup labels
includes label: glaucomatous and non-glaucomatous
original resolution: 2056 x 2124
Validation samples:
400
includes optic-disc and cup labels
original resolution: 1634 x 1634
Test samples:
400
includes optic-disc and cup labels
includes label: glaucomatous and non-glaucomatous
original resolution:
- bob.ip.binseg.data.refuge.dataset = <bob.ip.binseg.data.dataset.JSONDataset object>¶
REFUGE dataset object