# experiencor/keras-yolo2

<https://repo.masters-masters.com/en/repos/experiencor/keras-yolo2>

[Home](https://repo.masters-masters.com/en) › [experiencor](https://repo.masters-masters.com/en/owners/experiencor) › [keras-yolo2](https://repo.masters-masters.com/en/repos/experiencor/keras-yolo2)

experiencor/keras-yolo2 has 1,732 stars on GitHub. Its RepoMasters card: Beta tier. Easy training on custom dataset. Various backends (MobileNet and…

| Field | Value |
| --- | --- |
| Owner | [experiencor](https://repo.masters-masters.com/en/owners/experiencor) |
| Stars | 1,732 |
| Forks | 768 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2017 |
| Topics | convolutional-networks, deep-learning, yolo2, realtime, regression |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [experiencor/keras-yolo2](https://github.com/experiencor/keras-yolo2) |

## Repository

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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