# EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi

<https://repo.masters-masters.com/en/repos/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi>

[Home](https://repo.masters-masters.com/en) › [EdjeElectronics](https://repo.masters-masters.com/en/owners/EdjeElectronics) › [TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi](https://repo.masters-masters.com/en/repos/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi)

EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi has 1,593 stars on GitHub. Its RepoMasters card: Beta tier.

| Field | Value |
| --- | --- |
| Owner | [EdjeElectronics](https://repo.masters-masters.com/en/owners/EdjeElectronics) |
| Stars | 1,593 |
| Forks | 692 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2019 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi](https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi) |

## Repository

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more\!

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

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