# tangzhenyu/Scene-Text-Understanding

<https://repo.masters-masters.com/en/repos/tangzhenyu/Scene-Text-Understanding>

[Home](https://repo.masters-masters.com/en) › [tangzhenyu](https://repo.masters-masters.com/en/owners/tangzhenyu) › [Scene-Text-Understanding](https://repo.masters-masters.com/en/repos/tangzhenyu/Scene-Text-Understanding)

tangzhenyu/Scene-Text-Understanding has 379 stars on GitHub. Its RepoMasters card: Alpha tier. OCR, Scene-Text-Understanding, Text Recognition Language: C++.

| Field | Value |
| --- | --- |
| Owner | [tangzhenyu](https://repo.masters-masters.com/en/owners/tangzhenyu) |
| Stars | 379 |
| Forks | 115 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | None |
| Created | 2017 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [tangzhenyu/Scene-Text-Understanding](https://github.com/tangzhenyu/Scene-Text-Understanding) |

## Repository

OCR, Scene-Text-Understanding, Text Recognition

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by tangzhenyu

- [tangzhenyu/SemanticSegmentation\_DL · ★ 1,101 · Jupyter Notebook · Beta](https://repo.masters-masters.com/en/repos/tangzhenyu/SemanticSegmentation_DL)

## Nearby in C++

- [PyottDesign/Statial-b · ★ 379 · C++ · Alpha](https://repo.masters-masters.com/en/repos/PyottDesign/Statial-b)
- [SHAILAB-IPEC/OpenFly-Platform · ★ 379 · C++ · Alpha](https://repo.masters-masters.com/en/repos/SHAILAB-IPEC/OpenFly-Platform)
- [new-coke/strikers · ★ 379 · C++ · Alpha](https://repo.masters-masters.com/en/repos/new-coke/strikers)
- [hanmekim/SceneLib2 · ★ 379 · C++ · Alpha](https://repo.masters-masters.com/en/repos/hanmekim/SceneLib2)
- [HSA-Libraries/Bolt · ★ 379 · C++ · Alpha](https://repo.masters-masters.com/en/repos/HSA-Libraries/Bolt)
- [rpwoodbu/mosh-chrome · ★ 379 · C++ · Alpha](https://repo.masters-masters.com/en/repos/rpwoodbu/mosh-chrome)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.