Conclusion
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You started this lesson by first understanding image moderation in detail, and why it’s essential. Later, you explored the image moderation solution offered by the Azure Content Safety team and learned all the technical aspects of implementing it.
Then, you explored and learned how to use Azure Content Safety Studio to test content moderation API for image moderation. Finally, you implemented an image moderation code in Python Notebook that will be used in the sample app of this module, Fooder.
The key takeaway points from this lesson are:
- Knowing what image moderation is, and why is it essential for domains like social media, e-commerce, etc.
- How to explore Azure Content Safety’s image moderation API - and all the possible customizations that can be performed to enhance the moderation systems.
- How to use Azure Content Safety Studio to test image moderation APIs quickly.
- Understanding how to use content safety Rest API and Python SDK to make image analysis requests to the Azure content safety resource.
In the next lesson, you’ll work on your sample app, Fooder, and implement a multi-model content moderation system.