Licence Plate Recognition with YOLO V8 and Easy OCR using Custom Dataset

🚗 In this exciting tutorial, we dive deep into the world of License Plate Recognition (LPR) using the powerful YOLOv8 object detection model and EasyOCR for text recognition, all within the convenience of Google Colab and Python. 🚀

👉 Are you ready to take your computer vision skills to the next level? Join us as we walk you through the entire process of creating a custom dataset, training YOLOv8, and using EasyOCR to recognize license plates accurately.

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[shahadathshah]

How can i print the ocr text at the end of the code.

[B__Ikbal_Alghifary]

Thank you, it's very helpful, I also want to ask whether the detection results can be displayed in the form of a number plate string detected in the gcolab compiler?

[amansharma]

How can I get output in the form of text????

[abdullahalnoman]

How could i know the accuracy of the model

[navjeetsingh]

Bro, when i am giving some another video then it is giving error, mismatched input’(‘ expecting <EOF>, set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace

[DerJustn]

how i can use a camera as source? i see overall tutorials with pictures or videos .. but not with a live camera source

[debin]

try to make realtime webapp ppolice whicl recognition and multiple users using phone camera

[lifemelody]

i have a License plate mix with numbers and arabic character and the easy ocr doesn't recognize it correctly what do to make it , please if you have any idea tell me

[jonathansunil]

can I get the just text on my output screen.
i want to enter the text(number plate) into a particular database.