| lesion-segmentation-on-university-of-waterloo-skin-cancer | SegNet | #2 | Dice score: 0.854 ±0.088 |
| lesion-segmentation-on-atlas | SegNet | #3 | IoU: 0.1911Precision: 0.3938Recall: 0.2532Dice: 0.2767 |
| semantic-segmentation-on-tlcgis | SegNet | #4 | IoU: 77.80 |
| semantic-segmentation-on-skyscapes-dense | SegNet | #5 | Mean IoU: 23.14 |
| semantic-segmentation-on-camvid | SegNet | #17 | Mean IoU: 46.4% |
| crowd-counting-on-ucf-qnrf | Encoder-Decoder | #19 | MAE: 270 |
| real-time-semantic-segmentation-on-camvid | SegNet | #27 | mIoU: 46.4%Frame (fps): 4.6Time (ms): 217 |
| thermal-image-segmentation-on-mfn-dataset | SegNet | #44 | mIOU: 42.3 |
| semantic-segmentation-on-cityscapes-test | SegNet | #95 | Mean IoU (class): 57.0% |
| semantic-segmentation-on-ade20k | SegNet | #246 | Validation mIoU: 21.64 |