Muhammad-Zeerak-Khan/Automatic-License-Plate-Recognition-using-YOLOv8
A deep learning system that detects vehicles and reads license plates from video using YOLOv8 and OCR.
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This project uses YOLOv8 models to detect vehicles and license plates in video footage. It combines object detection with EasyOCR to read plate characters. The system implements tracking algorithms to follow vehicles across frames, outputs detected plates to CSV files, and provides visualization to display results overlaid on the original video.
Frequently asked
- What is Muhammad-Zeerak-Khan/Automatic-License-Plate-Recognition-using-YOLOv8?
- A deep learning system that detects vehicles and reads license plates from video using YOLOv8 and OCR.
- Is Automatic-License-Plate-Recognition-using-YOLOv8 open source?
- Yes — Muhammad-Zeerak-Khan/Automatic-License-Plate-Recognition-using-YOLOv8 is open source, released under the MIT license.
- What language is Automatic-License-Plate-Recognition-using-YOLOv8 written in?
- Muhammad-Zeerak-Khan/Automatic-License-Plate-Recognition-using-YOLOv8 is primarily written in Python.
- How popular is Automatic-License-Plate-Recognition-using-YOLOv8?
- Muhammad-Zeerak-Khan/Automatic-License-Plate-Recognition-using-YOLOv8 has 467 stars on GitHub.
- Where can I find Automatic-License-Plate-Recognition-using-YOLOv8?
- Muhammad-Zeerak-Khan/Automatic-License-Plate-Recognition-using-YOLOv8 is on GitHub at https://github.com/Muhammad-Zeerak-Khan/Automatic-License-Plate-Recognition-using-YOLOv8.