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

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1592 stars · 695 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A tutorial repository with Jupyter notebooks teaching how to train, convert, and deploy custom TensorFlow Lite object detection models on edge devices like Android phones and Raspberry Pi. It includes Colab-based training and Python code for running detection on images, video, and webcam feeds.

Use cases

• train a custom object detection model for raspberry pi
• deploy tensorflow lite model on android
• run real-time object detection on webcam
• convert tensorflow model to tflite format
• learn edge device machine learning
• train object detection model in google colab

When to choose

• you want a guided, beginner-friendly walkthrough for training and deploying TFLite object detection models
• you target edge devices like Raspberry Pi or Android phones
• you prefer learning via Colab notebooks and video tutorials

When to avoid

• you need a production-ready inference library rather than a tutorial
• you use frameworks other than TensorFlow (e.g. PyTorch, YOLO)
• you need non-detection tasks like segmentation or classification

Facets

learning-resource · maturity active

machine-learning deep-learning computer-vision image-processing machine-learning computer-vision education tutorials python cross-platform tensorflow-lite object-detection raspberry-pi edge-devices google-colab jupyter-notebook model-training tutorial android linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi")