Vehicle and plate detection web application with Yolov5, EasyOCR and Flask.
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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
This repo focuses on my works in the field of Computer Vision
DS-BizCardX: Extracting Business Card Data with OCR
Image text (OCR reader) and Text Analyzer. Made using Machine Learning and Streamlit API.
Effortless Business Card Data Management Revolutionize business card data handling with BizCardX. Extract, store, and manage contact details seamlessly using OCR and PostgreSQL integration. Experience the future of efficient information management.
Exercises & Image-to-Text Project & Speech Recog Project
Small-scale License Plate Detection and Recognition Application
This project is built to recognize text on license plates in pictures using YOLOv9 and EasyOCR
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.
ML assignment for Research papers into Audiobook using Google Vision API & Google Text to Speech AI integration to Web app
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