A face detection API is a software interface that allows developers to access and use a pre-built model for detecting faces in images. These APIs typically allow developers to send an image to the API, and the API will return the location and bounding box of any faces found in the image. These APIs can be used in a variety of applications such as security systems, image editing software, and social media platforms.
The first step to getting started with Face Detection is to set Axios, a promise-based HTTP client for the browser and Node.js, that will allow you to call Eden AI API.
Next, you'll need to initialize the File System module in order to access local files on your computer.
Finally, you'll need to create your multipart/formdata parameters form:
To perform Face Detection, you will need to create an account on Eden AI for free. Then, you will be able to get your API key directly from the homepage with free credits offered by Eden AI.
For example, we called two different Face Detection engines. Once the parameters values are passed, you can configure your request:
Then, you just need to launch the request and print the result:
Here is an example of a Face Detection API response:
Using Face Detection 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 specific 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 Face Detection request with specific parameters, check out our documentation.
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