A Unified Toolkit for Deep Learning Based Document Image Analysis
-
Updated
Aug 15, 2024 - Python
A Unified Toolkit for Deep Learning Based Document Image Analysis
中文版面检测(Chinese layout detection),yolov8 is used to detect the layout of Chinese document images。
ShabbyPages is a state-of-the-art corpus of born-digital document images with both ground truth and distorted versions appropriate for use in training models to reverse distortions and recover to original denoised documents.
A pre labelled dataset for ui element / layout detection
智能文本自动处理工具(Intelligent text automatic processing tool)。AutoText的功能主要有文本纠错,图片ocr、版面检测以及表格结构识别等。The main functions of this project include text error correction, ocr, layout-detection and table structure recognition.
PdfDet aims to simplify PDF layout detect tasks for users.
利用c++加载yolov8模型,进行版面检测。yolov8-c++ is used to detect the layout of Chinese document images
Vision Based Document Layout Detection, Segmentation and context classification using MaskRCNN on Tensorflow-Keras, PyTorch & Detectron2.
Add a description, image, and links to the layout-detection topic page so that developers can more easily learn about it.
To associate your repository with the layout-detection topic, visit your repo's landing page and select "manage topics."