Train custom model about persian_plate_recognition HOT 6 CLOSED

Hello there, Thank you for the issue.
Thanks for sharing this dataset. It's more general compare to my dataset, but this dataset contains motorcycles's licence plate too. My main model can't detect motorcycles's licence plate because my dataset is just contains cars. But it's ok you can just train your main model with bunch of motorcycles's licence plate to detect it. What model did you choose for training? For big models of course it took more time and my suggest is only use small and nano model.
If you want to use google colab you can just use some script out there to do left click on your colab webpage. You can also use Amazon Sagemaker for training. It's like colab and you can use GPU for 6 hours in a day and it's free.

from persian_plate_recognition.

Something between 250 to 300 epochs should be enough.

from persian_plate_recognition.

Okay. Right...
Can i ask, how did you train your dataset? with colab? personal system ? or something else ?
Or if you want to train this dataset use what? / which is the best option for training a dataset like it?

Thank you very much. 🙏

from persian_plate_recognition.

My dataset contains 1485 images and I trained it with nano model via google colab. It didn't took alot of time because my dataset is not that big. But for this dataset which you shared, It contains 6222 images. For train this dataset if you have not a good local PC so for you, best options is just google colab or maybe kaggle or the other free websites, or maybe you can google it about some websites in iran that they rent servers with good GPU. You can just rent it for 1 or 2 days and do your training.

from persian_plate_recognition.

👌 OK
I have one more question. 😅
How many epochs is good for training a dataset like this?

from persian_plate_recognition.

Okay, thanks again. it was very helpful...

from persian_plate_recognition.