https://github.com/neonwatty/udacity_mlnd_lab_face_detection
https://github.com/neonwatty/udacity_mlnd_lab_face_detection
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/neonwatty/udacity_mlnd_lab_face_detection
- Owner: neonwatty
- Created: 2016-10-04T15:21:25.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2016-10-11T15:09:23.000Z (almost 9 years ago)
- Last Synced: 2025-02-12T09:58:27.026Z (8 months ago)
- Language: HTML
- Size: 12.4 MB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
Click the Launch Binder tab below tolaunch a live instance of the Jupyter notebooks in this repo.
[](http://mybinder.org:/repo/jermwatt/udacity_mlnd_lab_face_detection)
# Udacity Machine Learning Nanodegree intro projects
This repo contains an iteractive demo of face detection using a linear Support Vector Machine classifier, an algorithm introduced in the introductory lectures for Udacity's Machine Learning Nanodegree program. This interactive demo comes in the form of Python based [Jupyter notebooks](http://jupyter.org/) (these are files with the extension .ipynb), which is a convenient open source platform for using Python to perform machine learning (and more generally computational science) tasks.
A short description of the notebooks in this repo include:
**face_detection_demo.ipynb** - this introduces the concept of "face detection" a.k.a. how to automatically find (human) faces in digital images. This machine learning task is used to e.g., organize photos (as Facebook does with [tags](https://www.facebook.com/help/124970597582337)), tell your smartphone where to focus when taking a picture (on the faces, as opposed to the background), or make augmented reality based selfies (as Snapchat does with [lenses](https://support.snapchat.com/en-US/a/lenses1)). In this demo you will have the chance to train your own Support Vector Machine classifier on a small dataset of images to perform this task.
To see a rubric for this project (a high level overview of what we hope you gain from using these notebooks) see *MLND_lab_face_detection_rubric.pdf*, located in this repo.