Consist of HOG LR, CRNN, and TrOCR
Extract text from vehicle number plates
Demo of GOT-OCR 2.0's Transformers implementation
Surya OCR
Correct skew and detect text lines in PDFs or images
Extract text from images using OCR
Display OCRBench leaderboard for model evaluations
Recognize South Korean license plate numbers
Extract Urdu text from images
Extract text from images using PaddleOCR
Extract text from images
Convert PDFs/Images to text using OCR
Indonesian ALPR Model Comparison is a tool designed to evaluate and compare different Automatic License Plate Recognition (ALPR) models for Indonesian license plates. It consists of three main models: HOG LR, CRNN, and TrOCR. This tool allows users to recognize license plate text from images and compare the performance of these models in various scenarios.
What is ALPR?
ALPR stands for Automatic License Plate Recognition, a technology used to automatically read license plate numbers from images or video streams.
Which models are included in the comparison?
The tool includes HOG LR, CRNN, and TrOCR models for Indonesian license plate recognition.
How accurate is the TrOCR model compared to others?
TrOCR generally offers higher accuracy due to its advanced transformer-based architecture, but performance may vary based on image quality and specific use cases.