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polyp segmentation datasets

<p>It stores the largely used testing protocoll for polyp segmentation:</p> <p>The training set includes 900 images from Kvasir-SEG and 550 images from CVC-ClinicDB. The testing set is made of the remaining images from the above cited datasets: 100 images from Kvasir-SEG, 62 images from CVC-ClinicalDB, 380 from CVC-ColonDB, 196 from ETIS-Larib and 60 from CVC-T, which is testing set for EndoScene.&nbsp;</p> <p>The test sets are stored in the folder TestDataset.</p> <p>There are three versions of the training set:</p> <p>NewTRimage, original training set without data augmentation</p> <p>NewTRimageDA, data augmentation proposed in &quot;Data augmentation for deep ensembles in polyp segmentation&quot;</p> <p>OLDTRimage, data augmentation used in&nbsp;https://arxiv.org/abs/2104.00850</p> <p>The names&nbsp; with &quot;mask&quot; stores the binary mask of the related images.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0