ypwhs/captcha_break resource
验证码识别 observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3480
- days_rel: n/a
- days_push: 1650
- n_releases_24m: 0
Adoption not part of the score
2822 stars · 667 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A tutorial repository demonstrating how to break captcha images using deep learning with Keras, including a CNN and CRNN with CTC loss. It provides Jupyter notebooks covering data generation, model building, and training for captcha recognition.
Use cases
- recognize captcha images with deep learning
- learn how to train a CRNN with CTC loss
- generate synthetic captcha training data
- tutorial on keras image classification
- ocr for short text images
When to choose
- learning deep learning-based captcha recognition
- studying CRNN and CTC loss implementations
- following a hands-on Keras tutorial with notebooks
When to avoid
- production captcha solving at scale
- projects requiring modern maintained OCR libraries
- environments without GPU support
Facets
learning-resource · maturity maintenance
deep-learning ocr machine-learning image-processing deep-learning computer-vision tutorials python captcha-breaking keras crnn ctc-loss jupyter-notebook tensorflow natural-language-processing gpu
1 source
- readme: https://github.com/ypwhs/captcha_break · fetched 2026-08-28 · 42a429ed8ad6
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ypwhs/captcha_break | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="ypwhs/captcha_break")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem