# chongyangtao/Awesome-Scene-Text-Recognition

A curated list of resources dedicated to scene text localization and recognition

Repository: https://github.com/chongyangtao/Awesome-Scene-Text-Recognition
Canonical: https://ross.abutalabs.com/products/awesome-scene-text-recognition
License Family: other
Topics: text-recognition, text-detection, scene-texts, natural-images
Last push: 2018-07-30T08:05:09+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3709, "days_push": 2956, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1674, forks 405 (observed 2026-08-28T04:05:20.430745+00:00)

## What it is
A curated awesome-list of papers, code, datasets, and models for scene text localization and recognition in natural images. It aggregates research resources such as surveys, deep learning methods, and synthetic data generation tools.

## Use cases
- find papers on scene text detection and recognition
- locate open-source implementations of text spotting models
- discover datasets for training OCR models on natural images
- research state-of-the-art text localization methods
- find synthetic data generation tools for scene text
- survey deep learning approaches for reading text in the wild

## When to choose
- researching scene text detection or recognition literature
- looking for datasets and code for text spotting projects
- building an OCR system for text in natural images

## When to avoid
- needing a ready-to-use OCR library or production tool
- looking for actively maintained software rather than a resource list
- needing OCR for clean scanned documents rather than scene text

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: computer-vision, ocr, machine-learning
- domain: computer-vision, image-processing, awesome-lists
- platform: cross-platform
- tags: awesome-list, scene-text, text-detection, text-recognition, research-papers, curated-resources, natural-language-processing

## Member repositories
- chongyangtao/Awesome-Scene-Text-Recognition (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:20.430745+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:42:31.464800+00:00, confidence not recorded.
  - readme: https://github.com/chongyangtao/Awesome-Scene-Text-Recognition (fetched 2026-08-28T04:05:20.430745+00:00, sha 4a6552a31bdd)
- Data as of 2026-08-30T08:39:29.467469+00:00.