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

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🚗 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.
Github Repo: github.com/Arijit1080/Licence...
Relevant Papers: arxiv.org/abs/1507.05717
arxiv.org/abs/1904.01941
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You can also follow me on instagram for regular updates : / ari_the_maker
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Опубликовано:

11 сен 2023

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Комментарии : 16

@MIT001-FR

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

@raymondmichael4987

Thanks brother;

@cnctechnology6856

Thank you sir..❤

@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?

@navjeetsingh1361

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

@shahadathshah2262

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

@abdullahalnoman8968 14 дней назад

How could i know the accuracy of the model

@amansharma4381

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

@lifemelody7000

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