Method Details
Details for method 'MiniNet-v2-pretrained'
Method overview
name | MiniNet-v2-pretrained |
challenge | pixel-level semantic labeling |
details | |
publication | Anonymous |
project page / code | |
used Cityscapes data | fine annotations, coarse annotations |
used external data | |
runtime | 0.012 s |
subsampling | 2 |
submission date | February, 2019 |
previous submissions |
Average results
Metric | Value |
---|---|
IoU Classes | 68.0152 |
iIoU Classes | 39.7194 |
IoU Categories | 86.2011 |
iIoU Categories | 68.3539 |
Class results
Class | IoU | iIoU |
---|---|---|
road | 97.9671 | - |
sidewalk | 81.5904 | - |
building | 89.9299 | - |
wall | 43.4969 | - |
fence | 44.3058 | - |
pole | 54.7678 | - |
traffic light | 57.9584 | - |
traffic sign | 64.1489 | - |
vegetation | 91.6813 | - |
terrain | 68.7597 | - |
sky | 94.5139 | - |
person | 75.9027 | 52.117 |
rider | 54.2737 | 29.6539 |
car | 93.1938 | 85.3966 |
truck | 49.1187 | 20.0851 |
bus | 67.6779 | 33.4999 |
train | 57.0396 | 30.7938 |
motorcycle | 44.95 | 23.3874 |
bicycle | 61.0118 | 42.8218 |
Category results
Category | IoU | iIoU |
---|---|---|
flat | 98.254 | - |
nature | 91.2799 | - |
object | 60.8866 | - |
sky | 94.5139 | - |
construction | 90.176 | - |
human | 76.1854 | 53.7771 |
vehicle | 92.112 | 82.9306 |