Comments (4)
junyongyou
commented on August 29, 2024
Hi, I actually didn't pay attention to the evaluation criterion on training set, but I would presume PLCC on training set should be higher than 0.95.
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Alen334
commented on August 29, 2024
Oh, sorry, there is a problem with my expression, it is the validation set, the plcc value of the validation set after each training epoch. It's what's in the log.
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junyongyou
commented on August 29, 2024
This looks not good. Are you training on your own dataset? Did you do some changes on the code? Have you tried other IQA models and how are they working?
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Alen334
commented on August 29, 2024
Yes, I am training on my own training set, and I have modified some codes. When the epoch is 80, the plcc of the validation set is only about 0.75. Maybe there is something wrong with my data set.，and the results are not satisfactory.
Thanks again for your reply.
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Related Issues (20)
- Training HOT 10
- AttributeError: 'MyCSVLogger' object has no attribute 'file_flags' HOT 1
- Combined database normalisation HOT 1
- Accuracy and loss function visualisation HOT 1
- Could you please provide me a copy of the CSIQ dataset? HOT 1
- Does the sequence of datasets need to shuffle? In the code, shuffle is set False HOT 8
- OOM HOT 4
- 不能运行 image_quality_prediction.py HOT 1
- The test set HOT 2
- Issue with Training - Generator error HOT 5
- Same output for every input image HOT 6
- training HOT 2
- Input HOT 5
- TRIQ failure on images of particular size range HOT 1
- request for trained model
- Save model config data
- save model architecture HOT 1
- dataset HOT 1
- About dataset HOT 5
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