You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi, I'm trying to train the segmentation models using cityscape dataset(training: 2975, validation:500).
In the papers of some segmentation models, mIoU of them is over 70%.
However, I cannot reach there.
I tried pspnet, segnet, and fcns, but they just reached to 40% of mIoU.
I also tried data augmentation(scaling, random rotation, horizontal flip).
In order to ignore the background, I changed the ignore_index of loss function from 250 to 0, and the label of 250 is replaced to 0.
Did I do something wrong or is there any tip to train them from scratch?
The text was updated successfully, but these errors were encountered:
June-Jo
changed the title
Any tips to train models from scratch using cityscape dataset?
Any tip to train models from scratch using cityscape dataset?
Mar 4, 2021
I was confused of indexing method in data loader.
I noticed that 0 is not background or unlabeled but the road.....
Therefore, I changed ignore_index from 0 to 250 back.
Now the mIoU is 52% after 4 epochs and it looks like keep increasing.
Hi, I'm trying to train the segmentation models using cityscape dataset(training: 2975, validation:500).
In the papers of some segmentation models, mIoU of them is over 70%.
However, I cannot reach there.
I tried pspnet, segnet, and fcns, but they just reached to 40% of mIoU.
I also tried data augmentation(scaling, random rotation, horizontal flip).
In order to ignore the background, I changed the ignore_index of loss function from 250 to 0, and the label of 250 is replaced to 0.
Did I do something wrong or is there any tip to train them from scratch?
Thanks for your help in advance.
My cfg file of pspnet is below.
The text was updated successfully, but these errors were encountered: