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Kvasir-SEG

Benchmarks

Task NameDataset NameSOTA ResultTrend
Polyp SegmentationKvasir-SEG (test)
mIoU87.1
87
Medical Image SegmentationKvasir-SEG (test)
mIoU96.45
78
Binary SegmentationKvasir-SEG (test)
DSC0.9355
67
Polyp SegmentationKvasir-SEG 100 random images
Dice Coefficient93.29
27
Polyp SegmentationKvasir-SEG (seen)
Dice Score92.4
17
Medical Image SegmentationKvasir-SEG 40 samples (train)
DICE78.61
16
Medical Image SegmentationKvasir-SEG 10 samples (train)
Dice Score (%)73.59
16
Polyp SegmentationKvasir-SEG trained on CVC-ClinicDB (test)
DSC0.7575
13
Polyp SegmentationKvasir-SEG Seen (test)
Dice94.7
12
Polyp SegmentationKvasir-SEG 30 (test)
DSC90.7
11
Polyp SegmentationKvasir-SEG 1.0 (test)
mIoU81
11
Polyp SegmentationKvasir-SEG (880/120)
mIoU84.8
11
Polyp DetectionKvasir-SEG Dirty (test)
Precision91.2
10
Polyp DetectionKvasir-SEG Clean (test)
Precision93.9
10
Polyp SegmentationKvasir-SEG 13 (test)
mDic0.917
10
SegmentationKvasir-SEG degraded (val)
Dice Score88.93
8
SegmentationKvasir-SEG clean (val)
Dice92.21
8
Polyp SegmentationKvasir-SEG Scenario 6 (5-fold cross-validation)
mDice0.912
8
Polyp SegmentationKvasir-SEG 16 (test)
mDice93.85
6
Object DetectionKvasir-SEG (val)
Precision98
5
Polyp SegmentationKvasir-SEG 19 (test)
mDSC76.58
4
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