# JunshengFu/vehicle-detection

<https://repo.masters-masters.com/en/repos/JunshengFu/vehicle-detection>

[Home](https://repo.masters-masters.com/en) › [JunshengFu](https://repo.masters-masters.com/en/owners/JunshengFu) › [vehicle-detection](https://repo.masters-masters.com/en/repos/JunshengFu/vehicle-detection)

JunshengFu/vehicle-detection has 674 stars on GitHub. Its RepoMasters card: Alpha tier. Created vehicle detection pipeline with two approaches: (1) deep…

| Field | Value |
| --- | --- |
| Owner | [JunshengFu](https://repo.masters-masters.com/en/owners/JunshengFu) |
| Stars | 674 |
| Forks | 242 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2017 |
| Topics | vehicle-detection, svm, yolov1 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [JunshengFu/vehicle-detection](https://github.com/JunshengFu/vehicle-detection) |

## Repository

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

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

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