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hi,I used the nature scene pictures to train the textboxes++ model, but in the training, the mbox_loss
changes between 1 and 4, I feel it is so big, so what i can do to reduce the mbox_loss?
The text was updated successfully, but these errors were encountered:
Some suggestions
(1) Check your ground truth. Ensure that the ground truth of the images is correct.
(2) Adjust your batch size and learning rate. Empirically, a larger batch size or smaller learning rate may be helpful.
(3) Turn off the random crop data augmentation if the above two suggestions do not help.
@MhLiao, Did you adopt the random crop data augmentation method in your training code? I don't do that for my data set alone. If I want to detect chinese text line, can you recommend some data set to me?
hi,I used the nature scene pictures to train the textboxes++ model, but in the training, the mbox_loss
changes between 1 and 4, I feel it is so big, so what i can do to reduce the mbox_loss?
The text was updated successfully, but these errors were encountered: