Building an ML driven image tagger on Google Cloud Platform
In this video, we're going to build a simple image tagger that can tag an user uploaded image with keywords based on the objects present in the image. Such a system provides great value for downstream applications like search. In this tutorial, we'll be using 4 GCP (Google Cloud Platform) services; GCS, Cloud vision API, DataStore, App Engine. We'll be using Java + Spring Framework to implement most of the logic.
One important detail I left out from the video: DO NOT forget to shut down the GCP project once you're done with it, in order to avoid being charged.
Code: https://github.com/thushv…
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Chapters (10)
Introduction
2:38
GCP service pricing
4:38
Why Java
6:08
Creating GCP resources
16:19
Setting up Java and Spring
22:21
Explaining the backend code
29:00
Testing the application locally
41:30
Deploying the app to App Engine
44:30
Testing the deployed service
48:52
Final thoughts and Conclusion
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