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
A web application that allows users to upload an image and convert it to text using Optical Character Recognition (OCR) technology. This application supports user authentication and provides a user-friendly interface for image uploads and text extraction.
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
Image/pdf to excel converison python scripts.
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
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."