Image text detection with Jupyter Notebook Python. Contribute to Vinexy/Image-Text-Detection-Pytesseract-Jupyter-Notebook development by creating an account on GitHub.

Utilized PyTesseract and OCR libraries for accurate optical character recognition (OCR) to extract text from images. Employed image preprocessing techniques, such as resizing and normalization, to ...

Are important images missing image alt text on your website? Here's how to automatically generate captions for hundreds of images using Python. In the Google Search: State of the Union last May ...

EasyOCR is built with Python and Pytorch deep learning library, having a GPU could speed up the whole process of detection. The detection part is using the CRAFT algorithm and the Recognition model is ...

Abstract: There is a sudden increase in digital data as well as a rising demand for extracting text efficiently from images. These two led to full optical character recognition systems are introduced ...

Let’s take a look at the 10 best image processing libraries in Python: 1. OpenCV. Topping our list is OpenCV, which is an open-source library that was developed and released by Intel in 2000. OpenCV ...

Text detection and recognition in images and videos are significant research areas in computer vision. A computer vision technology is used for smart city real-time traffic monitoring, and a security ...