Method Details
Details for method 'MaskRCNN_BOSH'
Method overview
name | MaskRCNN_BOSH |
challenge | pixel-level semantic labeling |
details | MaskRCNN segmentation baseline for Bosh autodrive challenge , using Matterport's implementation of Mask RCNN https://github.com/matterport/Mask_RCNN 55k iterations, default parameters (backbone :resenet 101) each pixel is assigend with label-id based on its highest class score |
publication | Jin shengtao, Yi zhihao, Liu wei [Our team name is firefly] |
project page / code | |
used Cityscapes data | fine annotations |
used external data | coco |
runtime | n/a |
subsampling | no |
submission date | June, 2018 |
previous submissions |
Average results
Metric | Value |
---|---|
IoU Classes | 41.5943 |
iIoU Classes | 19.2986 |
IoU Categories | 61.2908 |
iIoU Categories | 31.2781 |
Class results
Class | IoU | iIoU |
---|---|---|
road | 84.0654 | - |
sidewalk | 20.6033 | - |
building | 68.753 | - |
wall | 15.8263 | - |
fence | 12.5805 | - |
pole | 11.1466 | - |
traffic light | 33.7419 | - |
traffic sign | 40.7674 | - |
vegetation | 65.3318 | - |
terrain | 7.45913 | - |
sky | 50.8492 | - |
person | 60.2306 | 24.1512 |
rider | 38.5047 | 16.6114 |
car | 81.7904 | 41.0207 |
truck | 32.8656 | 11.2989 |
bus | 44.5179 | 17.4347 |
train | 58.5633 | 20.3863 |
motorcycle | 28.8212 | 9.36296 |
bicycle | 33.8738 | 14.1224 |
Category results
Category | IoU | iIoU |
---|---|---|
flat | 90.4843 | - |
nature | 61.949 | - |
object | 22.2331 | - |
sky | 50.8492 | - |
construction | 68.2131 | - |
human | 58.2264 | 24.1195 |
vehicle | 77.0807 | 38.4368 |