Kvasir
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Polyp Segmentation | Kvasir | Dice Score93.6 | 128 | |
| Medical Image Segmentation | Kvasir-Seg | Dice Score92.17 | 75 | |
| Polyp Segmentation | Kvasir (test) | Dice Coefficient92.9 | 73 | |
| Semantic Segmentation | Kvasir-SEG (test) | IoU810.34 | 51 | |
| Medical Image Segmentation | Kvasir | mDice92.6 | 29 | |
| Polyp Segmentation | Kvasir-SEG | mDice0.927 | 27 | |
| Anomaly Segmentation | Kvasir | PRO0.639 | 19 | |
| Polyp Segmentation | Kvasir source: CVC target domain | DSC0.921 | 18 | |
| Colon Polyp Segmentation | Kvasir (5-fold cross-validation) | Dice Score92.6 | 18 | |
| Medical Image Segmentation | Kvasir (test) | F1 Score93.9 | 18 | |
| Medical Image Classification | Kvasir | Accuracy81.52 | 14 | |
| 2D Medical Image Segmentation | Kvasir | ASD9.36 | 14 | |
| Polyp Segmentation | Kvasir 33 19 (test) | Dice Coefficient91.8 | 14 | |
| Polyp Segmentation | Kvasir (val) | Dice Coefficient90.3 | 14 | |
| Polyp segmentation | Kvasir In-Domain | Dice90.19 | 13 | |
| Segmentation | KVASIR | DICE93.05 | 12 | |
| Medical Image Classification | KVASIR D9 (test) | Accuracy92.7 | 12 | |
| Visible-to-Near-infrared Segmentation | Kvasir (test) | IoU87.7 | 12 | |
| Medical Image Classification | Kvasir (test) | Accuracy85 | 12 | |
| Polyp Segmentation | Kvasir-SEG Unseen dataset (test) | DSC86.06 | 12 | |
| Polyp Detection | Kvasir 1.0 (test) | Precision98.3 | 12 | |
| Medical Image Segmentation | Kvasir-SEG (Source) | DSC90.15 | 11 | |
| Semantic Segmentation | Kvasir Noisy | Dice88.9 | 11 | |
| Instrument Segmentation | Kvasir-Instrument | Dice90.65 | 11 | |
| Anomaly Detection | Kvasir | Pixel AUROC87.2 | 10 |
Showing 25 of 36 rows