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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Automatic Number Plate Detection YOLOv8
| Date | Stars |
|---|---|
| 2026-07-24 | 278 |
| 2026-07-25 | 278 |
| 2026-07-28 | 278 |
| 2026-07-30 | 278 |
| 2026-08-06 | 278 |
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<H1 align="center">Automatic Number Plate Detection and Recognition using YOLOv8</H1> ## Steps to run Code - Clone the repository ``` git clone https://github.com/MuhammadMoinFaisal/Automatic_Number_Plate_Detection_Recognition_YOLOv8.git ``` - Goto the cloned folder. ``` cd Automatic_Number_Plate_Detection_Recognition_YOLOv8 ``` - Install the dependecies ``` pip install -e '.[dev]' ``` - Setting the Directory. ``` cd ultralytics/yolo/v8/detect ``` - Downloading a Weights from the Google Drive ``` gdown "https://drive.google.com/uc?id=1dIyJooVaowaNUj0R1Q-HUnu-utiGsEj8&confirm=t" ``` - Downloading a Sample Video from the Google Drive ``` gdown "https://drive.google.com/uc?id=1P-oVR0J35Dw40lzw47sE19oADSW-tyb1&confirm=t" ``` - Run the code with mentioned command below (For Licence Plate Detection). ``` python predict.py model='best.pt' source='demo.mp4' ``` - For Licence Plate Detection and Recognition - Download the Updated predict.py file from the drive ``` gdown "https://drive.google.com/uc?id=1S6GkQcDq8W0ThaUeZ708UegHIRiVWzTo&confirm=t" ``` - Run the code with mentioned command below (For Licence Plate Detection and Recognition). ``` python predict.py model='best.pt' source='demo.mp4' ``` ### RESULTS #### Licence Plate Detection and Recognition  #### Licence Plate Detection and Recognition  ### Watch the Complete Step by Step Explanation - Video Tutorial Link [`YouTube Link`](https://www.youtube.com/watch?v=lkAJBSmIL50&t=5s) []([https://www.youtube.com/watch?v=StTqXEQ2l-Y](https://www.youtube.com/watch?v=lkAJBSmIL50))
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:39461fe5e01478f6, topic:yolo, topic:opencv
matched fp:39461fe5e01478f6, topic:pytorch