deepdraw.data.rimoner3#
RIM-ONE r3 (training set) for Cup Segmentation.
The dataset contains 159 stereo eye fundus images with a resolution of 2144 x 1424. The right part of the stereo image is disregarded. Two sets of ground-truths for optic disc and optic cup are available. The first set is commonly used for training and testing. The second set acts as a “human” baseline. A third set, composed of annotation averages may also be used for training and evaluation purposes.
Reference: [RIMONER3-2015]
Original resolution (height x width): 1424 x 1072
Split reference: [MANINIS-2016]
Protocols
optic-disc-exp1
,optic-cup-exp1
,optic-disc-exp2
,optic-cup-exp2
,optic-disc-avg
andoptic-cup-avg
:Training: 99
Test: 60
Module Attributes
RIM-ONE r3 dataset object. |
- deepdraw.data.rimoner3.dataset = <deepdraw.data.dataset.JSONDataset object>#
RIM-ONE r3 dataset object.