Vehicle and plate detection web application with Yolov5, EasyOCR and Flask.
-
Updated
Mar 3, 2023 - Python
Vehicle and plate detection web application with Yolov5, EasyOCR and Flask.
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.
This Project is to develop a Streamlit application that enables users to upload a business card image and extract essential information from it using easyOCR. The extracted information includes the company name, card holder namebjective of, designation, mobile number, email address, website URL, area, city, state, and pin code. #GUI
License Plate Recognition using YOLOv8 + EasyOCR + NAFNet
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.
This repo focuses on my works in the field of Computer Vision
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
ML assignment for Research papers into Audiobook using Google Vision API & Google Text to Speech AI integration to Web app
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 .
Add a description, image, and links to the easyocr topic page so that developers can more easily learn about it.
To associate your repository with the easyocr topic, visit your repo's landing page and select "manage topics."