DeepLabV3Plus-Pytorch
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question to the trainingdata
hi, guys, i'm recently meeting a problem which very confuses me. I'm using deeplabv3+ to train a 5 classes segmentation model include forest, ground, sky, runway asphalt and runway lane. i used 3100 images and cooresponding labels. But i exchange the label index 1,2 by mistake from 1706th label up and i trained the network. But finally i get a better segmentation than before accidently. Do you know what causes this, because i fixed the problem and modifed the wrong label index as correct index afterwards and the results is bad. Thank you in advance.
how can you trained 5class,how to do that,thanks
It was interesting, have you found out the reason?
I want to train my own data set with this model, which is similar to cityscapes, so how do I do that? Can I store my original image and tag data directly in the same format as cityscapes?