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Detect Hair Color with AutoML, MMS, and JavaScript

Blog post from Twilio

Post Details
Company
Date Published
Author
Lizzie Siegle
Word Count
1,329
Language
English
Hacker News Points
-
Summary

Detect Hair Color with AutoML, MMS, and JavaScript` is a project that uses Google Cloud's AutoML Vision API to detect hair color from images. The app was built for a Twitch streamer, Anna Lytical, who is an engineer at Google working on the developer experience for Google Cloud Platform. To build this app, developers need a Google Cloud account, a Twilio account with SMS capabilities, and prepare image data to train the model on. The project uses Instagram's open-source scraper to collect images of different hair colors, which are then used to train the AutoML model. Once trained, the model is deployed as a Cloud Function that can be invoked via Twilio MMS. The app responds with a message indicating the detected hair color. This project showcases how AutoML simplifies building and deploying machine learning models, and demonstrates its potential for various applications beyond just detecting hair color.