Method Details
Details for method 'SRC-B-MachineLearningLab'
Method overview
name | SRC-B-MachineLearningLab |
challenge | pixel-level semantic labeling |
details | Samsung Research Center MachineLearningLab. The result is tested by multi scale and filp. The paper is in preparing. |
publication | Jianlong Yuan, Zelu Deng, Shu Wang, Zhenbo Luo |
project page / code | |
used Cityscapes data | fine annotations, coarse annotations |
used external data | ImageNet |
runtime | n/a |
subsampling | no |
submission date | August, 2018 |
previous submissions |
Average results
Metric | Value |
---|---|
IoU Classes | 82.4876 |
iIoU Classes | 60.6631 |
IoU Categories | 91.8136 |
iIoU Categories | 81.4875 |
Class results
Class | IoU | iIoU |
---|---|---|
road | 98.7264 | - |
sidewalk | 87.2914 | - |
building | 94.0168 | - |
wall | 64.8086 | - |
fence | 64.4752 | - |
pole | 70.7068 | - |
traffic light | 76.7335 | - |
traffic sign | 81.2206 | - |
vegetation | 93.9585 | - |
terrain | 73.8663 | - |
sky | 95.8668 | - |
person | 87.8758 | 72.8885 |
rider | 72.6575 | 51.39 |
car | 96.2573 | 91.0492 |
truck | 79.2042 | 44.2228 |
bus | 92.1619 | 57.027 |
train | 88.1155 | 53.8644 |
motorcycle | 71.5498 | 49.5469 |
bicycle | 77.7714 | 65.3157 |
Category results
Category | IoU | iIoU |
---|---|---|
flat | 98.7833 | - |
nature | 93.6873 | - |
object | 76.4173 | - |
sky | 95.8668 | - |
construction | 94.1364 | - |
human | 87.8805 | 73.7331 |
vehicle | 95.9233 | 89.242 |