May 10, 2025 · docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning. A curated list of resources for text detection/recognition (optical character recognition ) with deep …

Jan 26, 2023 · In this article, we will compare three popular deep learning models for text detection: YOLOv5, EfficientDet-D7, and Mask R-CNN. We will discuss their capabilities and limitations, as well as examine how they compare to one another in …

Jun 6, 2022 · The deep learning-based model provides scene text detection or bounding boxes of text in an image. These bounding boxes can then be passed to an Optical character recognition (OCR) engine for enhanced text recognition accuracy.

Aug 20, 2018 · In this tutorial you will learn how to use OpenCV to detect text in natural scene images using the EAST text detector. OpenCV’s EAST text detector is a deep learning model, based on a novel architecture and training pattern.

Nov 1, 2023 · Text detection involves identifying and extracting text regions, achieved through either object detection or segmentation techniques, while text recognition focuses on accurately deciphering the content within these identified regions.

May 26, 2024 · In this study, we developed an efficient AI-generated text detection model based on the BERT algorithm, which provides new ideas and methods for solving related problems.

Mar 21, 2021 · Deep learning based approaches become dominate in both parts. Text Detection: Text Detection is a technique where image will be given to the model and the textual region is detected by plotting a...

Aug 25, 2020 · Scene Text Detection is a task to detect text regions in the complex background and label them with bounding boxes. Proposed in 2019, the main objective of CRAFT: Character-Region Awareness For Text detection is to localize the individual character regions and link the detected characters to a text instance.

Nov 18, 2021 · Clova AI Research has developed a four-stage STR framework that most existing STR models fit into and are based on CRNN neural networks. A CRNN neural network combines a convolutional neural network and a recurrent neural network to recognize text based on an image. The four stages derived from existing STR models are as follows:

GPT is a large language model (LLM) derived from natural language processing that can generate a human-like text using machine learning. However, these models r.