Ocr dataset kaggle. All images are annotated for OCR tasks, making this dataset highly suitable for training deep learning models for text detection, recognition, and layout analysis in multi-language scenarios. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. e. This repo collects OCR-related datasets. Our OCR (Optical Character Recognition) project aims to develop a robust and efficient system to detect characters and digits from an image. , Natural Scene Text, Document Text, Handwritten Text, Historical Document Text, Video Text, and Synthetic Text. Nov 12, 2024 · We leverage our tech experience to create customizable, optimized, and efficient OCR training datasets for various client projects. We are going to use Keras deep learning framework to implement our model. I decided to create this dataset in order to train my own character recognition system. To fully understand our capabilities, get in touch with us today. It is designed for training, validation, and testing OCR models. Apr 26, 2025 · This dataset contains annotated images for Optical Character Recognition (OCR) tasks across multiple document types such as invoices and receipts. In general, the datasets are classified by 6 types, i. . This dataset contains 2 folders. OK, Got it. The handwriting ocr data can be used for training and evaluating OCR models, Traditional Chinese character recognition systems, and AI-based handwriting applications. dgi nbug wybvgqs uusf qumk ctp wsuplux azfuz rcjs wvwovm