# EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

Repository: https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10
Canonical: https://ross.abutalabs.com/products/tensorflow-object-detection-api-tutorial-train-multiple-objects-windows-10
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2021-10-21T02:45:20+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": 3126, "days_push": 1777, "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 2919, forks 1267 (observed 2026-08-28T04:07:30.103354+00:00)

## What it is
A step-by-step tutorial repository teaching how to train a TensorFlow Object Detection classifier for multiple custom objects on Windows 10 using the TensorFlow Object Detection API. It includes setup instructions, sample images, labeling guidance, and a companion YouTube video.

## Use cases
- train a custom object detection model on my own images
- learn how to use TensorFlow Object Detection API on Windows
- set up TensorFlow GPU environment with CUDA and cuDNN
- label pictures and generate TFRecord training data
- detect multiple custom objects with a trained classifier

## When to choose
- you are a beginner wanting a guided walkthrough for training object detection on Windows
- you use TensorFlow 1.x and want a proven step-by-step guide with sample data

## When to avoid
- you need current tooling - the tutorial targets TensorFlow 1.x and was last updated in 2021
- you work on Linux or macOS without wanting to adapt instructions
- you need production-grade object detection pipelines rather than a learning exercise

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, computer-vision, llm-training
- domain: computer-vision, machine-learning, tutorials, deep-learning
- platform: windows, python
- tags: object-detection, tensorflow, tutorial, image-classification, windows-10, gpu-training, gpu

## Member repositories
- EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:30.103354+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 2026-08-30T07:34:00.239115+00:00, confidence not recorded.
  - readme: https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10 (fetched 2026-08-28T04:07:30.103354+00:00, sha 5f110729f863)
- Data as of 2026-08-30T08:39:29.467469+00:00.