This repo collects OCR-related datasets. In general, the datasets are classified by 6 types, i.e., Natural Scene Text, Document Text, Handwritten Text, Historical Document Text, Video Text, and Synthetic Text.

Optical Character Recognition Dataset containing Various Fonts and Style Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more

Perfect for machine learning and AI projects, our OCR image datasets are essential for refining text recognition algorithms, improving data extraction accuracy, and advancing document digitization initiatives. Access high-quality, diverse data sets …

2023年8月11日 · To build accurate and robust OCR models, access to high-quality training data is crucial. In this blog, we present a comprehensive list of OCR datasets that are invaluable resources for training...

2025年1月5日 · This repository contains a comprehensive collection of resources related to OCR (Optical Character Recognition) and Document AI, such as papers, datasets, and APIs.

50 dataset results for Optical Character Recognition (OCR) IAM (IAM Handwriting) The IAM database contains 13,353 images of handwritten lines of text created by 657 writers.

2024年3月29日 · Document datasets with .pdf files that are usable with pixparse libraries and tools.

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

Optical Character Recognition (OCR) models with our Standard OCR Dataset. Download now for improved AI research in text extraction.

TextOCR is a dataset to benchmark text recognition on arbitrary shaped scene-text. TextOCR requires models to perform text-recognition on arbitrary shaped scene-text present on natural images.