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 and cup:
- 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:

Module Attributes

dataset

REFUGE dataset object

bob.ip.binseg.data.refuge.dataset = <bob.ip.common.data.dataset.JSONDataset object>¶: REFUGE dataset object