Easy Yolo OCR replaces the Text Detection model used for text region detection with an Object Detection model commonly used in object detection tasks. Train your own custom Detection model and detect only the desired regions in the desired format.

This step-by-step pipeline combines the power of YOLO for object detection with Tesseract for OCR. The solution can be applied to various use cases, such as: Automating data extraction from invoices, receipts, or documents. Analyzing text within detected regions in images.

This repository is dedicated to implementing Deep Learning-based Scene Text Recognition models, utilizing a two-step approach involving Text Detection (TD) and Text Recognition (TR). The TD step employs YOLOv8, while the TR step utilizes a Convolutional Recurrent Neural Network (CRNN).

Mar 19, 2025 · YOLOE is a real-time open-vocabulary detection and segmentation model that extends YOLO with text, image, or internal vocabulary prompts, enabling detection of any object class with state-of-the-art zero-shot performance.

May 9, 2019 · In this article, you will learn how to make your own custom OCR with the help of deep learning, to read text from an image. I will walk you through the example of PAN Card …

Mar 10, 2025 · Object detection and segmentation are widely employed in computer vision applications, yet conventional models like YOLO series, while efficient and accurate, are limited by predefined categories, hindering adaptability in open scenarios. Recent open-set methods leverage text prompts, visual cues, or prompt-free paradigm to overcome this, but often compromise between performance and efficiency ...

Oct 2, 2024 · YOLO (You Only Look Once) is a powerful, real-time object detection model that divides an image into grids, allowing it to identify multiple objects in a single forward pass. This approach is...

Apr 3, 2025 · In this article we will learn how to make our custom ocr (optical character recognition) by using deep learning techniques to read the text from any images.

Jul 18, 2024 · Discover how a simple image can be transformed into readable text using YOLOv8 and NLP.

We begin with YOLO models with widely proven efficacy. For text prompts, we propose a Re-parameterizable Region-Text Alignment (RepRTA) strategy, which employs a lightweight auxiliary network to improve pretrained textual embeddings for better visual-semantic alignment.