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Hi, I'm new to ML.
I tried to train HED with my own dataset of 24 images which works fine.
When I used full 960 images dataset it gives wired looking result images.
All I've is one training folder(original and ground truth images) and one test folder with same structure BSDS-dataset. In HED paper it is written that their dataset is composed of "200 training, 100 validation, and 200 testing images". I don't find any validation images in BSDS-dataset folder.
In train_val.prototxt file's testing phase "#Just setup the network. No real online testing" is mentioned and also points to the same file. Does that mean, training doesn't include testing.
Can anyone help me with these,
How to setup validation images
How to setup testing images
The text was updated successfully, but these errors were encountered:
Hi, I'm new to ML.
I tried to train HED with my own dataset of 24 images which works fine.
When I used full 960 images dataset it gives wired looking result images.
All I've is one training folder(original and ground truth images) and one test folder with same structure BSDS-dataset. In HED paper it is written that their dataset is composed of "200 training, 100 validation, and 200 testing images". I don't find any validation images in BSDS-dataset folder.
In train_val.prototxt file's testing phase "#Just setup the network. No real online testing" is mentioned and also points to the same file. Does that mean, training doesn't include testing.
Can anyone help me with these,
The text was updated successfully, but these errors were encountered: