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I have labelled my own dataset and used the WPOD-Net to find the license Plates coordinates. Now, I want to calculate the Average Precision metric so that I can evaluate the WPOD-Net on my dataset. If the Average Precision is bad, I want to train the WPOD-Net on my dataset and Improve the Model.
So, do you have any inputs for calculating the AP metric until License Plate detection.
Thanks
The text was updated successfully, but these errors were encountered:
Hello Quang,
Thank you for the very helpful repo.
I have labelled my own dataset and used the WPOD-Net to find the license Plates coordinates. Now, I want to calculate the Average Precision metric so that I can evaluate the WPOD-Net on my dataset. If the Average Precision is bad, I want to train the WPOD-Net on my dataset and Improve the Model.
So, do you have any inputs for calculating the AP metric until License Plate detection.
Thanks
The text was updated successfully, but these errors were encountered: