YOLOv5 model trained on a custom dataset to detect car plates. Detected plates are passed to EasyOCR to read them. Implemented simple object tracking to improve accuracy.
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Updated
Jan 23, 2023 - Python
YOLOv5 model trained on a custom dataset to detect car plates. Detected plates are passed to EasyOCR to read them. Implemented simple object tracking to improve accuracy.
License Plate Recognition using YOLOv8 + EasyOCR + NAFNet
Vehicle and plate detection web application with Yolov5, EasyOCR and Flask.
Python script that sorts image files based on the date found in the image's OCR (Optical Character Recognition) result using the EasyOCR and dateparser libraries.
TFG
Computer Vision və OCR vasitəsilə, şəkildəki avtomobil nömrəsinin oxunulması
OCR_app can convert text from picture to written text. It's a full-stack machine-learning application that uses Hugging Face, Streamlit and EasyOcr .
MarioKartDataMiner (MAKADAM) uses Optical Character Recognition to read the position of players from a MarioKart screenshot and write the results to an Excel file
Techgium hackathon submission
UK license plate detection using YOLOv8
With the EasyOCR library, the software can recognize up to 80 languages. Using the OpenCV library, we can recognize text in realtime.
This is an AI, which will detect the number plate of a car from a given image and extract the Number Plate data from that Image.
AutoGate AI is an advanced vehicle access system that uses YOLOv10 and EasyOCR for real-time license plate detection and automated gate control.
Image text (OCR reader) and Text Analyzer. Made using Machine Learning and Streamlit API.
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