awesome-scene-text
github.com/janzd/awesome-scene-text ↗A curated list of papers and resources for scene text detection and recognition
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me open source ocr systems resources from awesome-scene-text"
Installation instructions →What's inside
Tools & Libraries
- codeOpen Source OCR Systems
Ready-to-use OCR with 80+ languages support (PyTorch-based) [
- codeOpen Source OCR Systems
Unified benchmark system for training and evaluating scene text models [
- codeOpen Source OCR Systems
Powerful, lightweight OCR toolkit supporting 100+ languages [
- codeOpen Source OCR Systems
Comprehensive OCR toolbox with 7 detection and 5 recognition algorithms [
- OCR comparison: Tesseract vs EasyOCR vs PaddleOCR vs MMOCRComparison
- Open-Source OCR Libraries: A Comprehensive StudyComparison
Datasets & Benchmarks
- downloadMajor Datasets
5,000 word images (2,000 train, 3,000 test), 50-word and 1,000-word lexicons [
- downloadMajor Datasets
1,500 images (1,000 train, 500 test), 10,751 text instances, 14-vertex polygon annotations [
- downloadMajor Datasets
800,000 images, ~8 million synthetic word instances [
- downloadMajor Datasets
32,285 images, 1,018,402 character instances, character-level with 6 attributes [
- downloadMajor Datasets
350 images, 725 text instances [
- downloadMajor Datasets
Hierarchical text with word/line/paragraph annotations, 103.8 words/image [
Scene Text Recognition
Text Generation with Diffusion Models
- https://github.com/ankush-me/SynthTextRelated Text Synthesis Papers
- paper2023
Weakly Supervised Methods
End-to-End Text Spotting
Multilingual & Low-Resource Languages
- info2024
Showing a sample of 333 resources. View the full list on GitHub →