# EdjeElectronics/TensorFlow-Object-Detection-on-the-Raspberry-Pi

A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi

Repository: https://github.com/EdjeElectronics/TensorFlow-Object-Detection-on-the-Raspberry-Pi
Canonical: https://ross.abutalabs.com/products/tensorflow-object-detection-on-the-raspberry-pi
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2024-08-10T10:46:47+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3011, "days_push": 753, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1152, forks 360 (observed 2026-08-28T04:03:46.831240+00:00)

## What it is
A step-by-step tutorial repository showing how to install and run TensorFlow's Object Detection API on a Raspberry Pi. It includes example Python scripts for detecting objects from live Picamera or USB webcam feeds, plus a bonus pet detector application.

## Use cases
- set up tensorflow object detection on a raspberry pi
- run real-time object detection from a picamera or webcam
- build a pet detector that alerts when my cat wants outside
- detect animals in my garden with a pi camera
- learn to deploy a trained detection model on embedded hardware

## When to choose
- you want a guided, beginner-friendly walkthrough for object detection on Raspberry Pi
- you need working example code for live camera detection on a Pi
- you are following Edje Electronics' model training tutorials and want the deployment side

## When to avoid
- you need a production-grade or actively maintained detection framework
- you are not using a Raspberry Pi or ARM Linux device
- you want a pip-installable library rather than a tutorial with scripts

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, computer-vision, image-processing
- domain: machine-learning, computer-vision, tutorials, embedded-systems
- platform: python, embedded
- tags: object-detection, tensorflow, raspberry-pi, tutorial, picamera, opencv, linux

## Member repositories
- EdjeElectronics/TensorFlow-Object-Detection-on-the-Raspberry-Pi (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:46.831240+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:33:31.108823+00:00, confidence not recorded.
  - readme: https://github.com/EdjeElectronics/TensorFlow-Object-Detection-on-the-Raspberry-Pi (fetched 2026-08-28T04:03:46.831240+00:00, sha 512b69320e39)
- Data as of 2026-08-30T08:39:29.467469+00:00.