In this tutorial, you will learn how to use Image Anonymization API in 5 minutes using Python and Eden AI Image Anonymization API. Eden AI provides an easy and developer-friendly API that allows you to anonymize images.
Image Anonymization is a GDPR/APPI/CCPA compliant technology capable of detecting faces or objects in photos and applying a gaussian blur to the result. It is mainly used for protecting privacy (in TV news, witness protection, etc.) when you're required to remove critical personal information from street scene data (e.g. faces, licence plate numbers).
The first step to using Image Anonymization API is to install Python's requests package, that will allow you to call Eden AI API.
Next, you'll need to install Python's JSON package in order to read and print the result of the API request.
You are now ready to process your image into Eden AI Image Anonymization API.
To perform Image Anonymization, you'll need to create an account on Eden AI for free. Then, you will be able to get your API key direclty from the homepage with free credits offered by Eden AI.
Now that you have imported packages on Python and got your API key, you will be able to anonymize your images. With Eden AI, you can choose from a range of different engines you want for Image Anonymization. You can access the list of Image Anonmyzation APIs providers available on Eden AI directly on our documentation.
Here is the Python script you need to write in your notebook:
As shown above, we have called two different Image Anonymization engines in the script. Subsequently, Eden AI API will return in its JSON response results of those providers.
Once the request is done, you will be able to get the result with this print:
Here is an example of Image Anonymization response:
Using Image Anonymization with Eden AI API is quick and easy.
We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and an access to the specificic features of each provider
The JSON output format is the same for all suppliers thanks to Eden AI's standardisation work. The response elements are also standardised thanks to Eden AI's powerful matching algorithms.
With Eden AI you have the possibility to integrate a third party platform: we can quickly develop connectors. To go further and customize your Image Anonymization request with specific parameters, check out our documentation.
You can directly start building now. If you have any questions, feel free to chat with us!
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