Size and nature of the dataset.

[Sreerag-ibtl]

I have a 25451 images in the train and 2000 images in the test set. The problem I am facing is the train and validation loss is high in every epochs. In my dataset a few images are of plates with two lines. So I would like to get a suggestion about the dataset size and it's nature. TIA

[ghost]

Hi @Sreerag-ibtl, In my opinion, the number of dataset is small. because i tested this problem, i've solved this problem with number of large dataset. around 500k images.

[Sreerag-ibtl]

Thanks for the reply. I have a fair amount of synthetic images. I tried a different implementation of the CRNN a while ago, with those. But the prediction was not better.