# dog-qiuqiu/Yolo-Fastest

<https://repo.masters-masters.com/en/repos/dog-qiuqiu/Yolo-Fastest>

[Home](https://repo.masters-masters.com/en) › [dog-qiuqiu](https://repo.masters-masters.com/en/owners/dog-qiuqiu) › [Yolo-Fastest](https://repo.masters-masters.com/en/repos/dog-qiuqiu/Yolo-Fastest)

dog-qiuqiu/Yolo-Fastest has 2,101 stars on GitHub. Its RepoMasters card: RC tier. :zap: Based on yolo's ultra-lightweight universal target detection…

| Field | Value |
| --- | --- |
| Owner | [dog-qiuqiu](https://repo.masters-masters.com/en/owners/dog-qiuqiu) |
| Stars | 2,101 |
| Forks | 433 |
| Language | [C](https://repo.masters-masters.com/en/languages/c) |
| License | None |
| Created | 2020 |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [dog-qiuqiu/Yolo-Fastest](https://github.com/dog-qiuqiu/Yolo-Fastest) |

## Repository

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

## More repos by dog-qiuqiu

- [dog-qiuqiu/MobileNet-Yolo · ★ 1,745 · C · Beta](https://repo.masters-masters.com/en/repos/dog-qiuqiu/MobileNet-Yolo)
- [dog-qiuqiu/Yolo-FastestV2 · ★ 946 · Python · Beta](https://repo.masters-masters.com/en/repos/dog-qiuqiu/Yolo-FastestV2)
- [dog-qiuqiu/FastestDet · ★ 863 · Python · Beta](https://repo.masters-masters.com/en/repos/dog-qiuqiu/FastestDet)
- [dog-qiuqiu/Ultralight-SimplePose · ★ 316 · Python · Alpha](https://repo.masters-masters.com/en/repos/dog-qiuqiu/Ultralight-SimplePose)
- [dog-qiuqiu/invincat · ★ 116 · Python · Prototype](https://repo.masters-masters.com/en/repos/dog-qiuqiu/invincat)

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