argman/EAST
A tensorflow implementation of EAST text detector observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3320
- days_rel: n/a
- days_push: 1381
- n_releases_24m: 0
Adoption not part of the score
3059 stars · 1039 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A TensorFlow re-implementation of the EAST (Efficient and Accurate Scene Text Detector) deep learning model for detecting text in natural scene images. It includes pre-trained models achieving 80.83 F1 on ICDAR 2015, a fast C++ Locality-Aware NMS, and training scripts.
Use cases
- detect text regions in scene images
- run OCR text detection on photos
- train a scene text detector on ICDAR data
- find text bounding boxes in natural images
- build a text detection demo server
- extract text locations from images before OCR
When to choose
- you need fast scene text detection with TensorFlow
- you want a pre-trained EAST model with ICDAR 2015-level accuracy
- you need GPU-accelerated text region detection at ~16 fps on 720p images
When to avoid
- you need the QUAD geometry output (only RBOX is implemented)
- you want a maintained project with recent updates
- you need PyTorch or modern TensorFlow 2.x support
- you need full OCR (recognition) rather than just detection
Facets
library · maturity maintenance
machine-learning deep-learning computer-vision ocr image-processing computer-vision machine-learning deep-learning image-processing python cpp cross-platform tensorflow scene-text-detection east text-detector resnet icdar2015 nms gpu linux
1 source
- readme: https://github.com/argman/EAST · fetched 2026-08-28 · 7919a32490ff
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| argman/EAST | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem