EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi
A step-by-step guide for training custom TensorFlow object detection models and running them on Android and Raspberry Pi devices.
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This repository provides a practical tutorial for training, converting, and deploying TensorFlow object detection models to edge devices. It includes Google Colab notebooks that walk through data preparation, model configuration, training, and conversion to TensorFlow Lite format for optimized inference. The guide also covers Python code for running these models on images, videos, and webcam feeds in real time.
Frequently asked
- What is EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi?
- A step-by-step guide for training custom TensorFlow object detection models and running them on Android and Raspberry Pi devices.
- Is TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi open source?
- Yes — EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi is open source, released under the Apache-2.0 license.
- What language is TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi written in?
- EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi is primarily written in Jupyter Notebook.
- How popular is TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi?
- EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi has 1.6k stars on GitHub.
- Where can I find TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi?
- EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi is on GitHub at https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi.