Bartzi/stn-ocr
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
This project helps researchers and machine learning engineers develop and experiment with advanced optical character recognition (OCR) models. It allows you to feed in images containing text, such as house numbers or text lines, and train a single neural network to both locate and recognize that text. This is primarily for those working on computer vision and text extraction research.
503 stars. No commits in the last 6 months.
Use this if you are a researcher or advanced practitioner looking to train and evaluate custom OCR models for text detection and recognition on specific datasets like house numbers or general text.
Not ideal if you need a ready-to-use OCR tool for everyday document processing without deep technical configuration or model training.
Stars
503
Forks
136
Language
Python
License
GPL-3.0
Category
Last pushed
Jan 02, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Bartzi/stn-ocr"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
JaidedAI/EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin,...
breezedeus/CnSTD
CnSTD: 基于 PyTorch/MXNet 的 中文/英文 场景文字检测（Scene Text Detection）、数学公式检测（Mathematical Formula...
githubharald/SimpleHTR
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
felixdittrich92/OnnxTR
OnnxTR a docTR (Document Text Recognition) library Onnx pipeline wrapper - for seamless,...
mindee/doctr
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for...