Cloudinary Blog

log posts of 'Face-detection' tag
New interactive web development demo with code samples
Developing a great website and maintaining it can be a challenging and time-consuming task, even for the most talented developer. You need to meet graphic design requirements for any device according to the latest design trends, and constantly find ways to optimize your website performance, for any browser. 
We can save you a lot of time and effort. Cloudinary takes care of the entire image management pipeline: image upload, a rich set of manipulation and optimization capabilities, cloud storage, administration and super-fast CDN delivery. 
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Apply conditions to dynamically manipulate images.

It's great to have the capability to manipulate images on the fly by using dynamic URLs to customize the images to fit the graphic design of your site or mobile application. However, what if you want to manipulate an image depending on a specific image characteristic (like its width or aspect ratio) or its contents (does it contain a face?). What you need is a way to apply a transformation to an image only if a specific condition is met. Take for example a situation where you have allocated space on your page for a user uploaded image with a width and height of 200 pixels. Furthermore, if the image contains a face you would like to zoom in and focus on the face itself, otherwise you would like to fit the entire image into the available space:

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Powerful facial detection for image manipulation

Many of the photos displayed on the internet these days are of people. If your website or mobile application displays photos that include people, you will want to make sure that their faces are included in the delivered images when cropping and manipulating them to fit your graphic design and responsive layout. You may even want to further manipulate an image according to the faces present, for example, adding a harlequin mask overlay on all of their eyes, where each mask is adjusted to the correct size and orientation (although not a typical use case, it's a cool example of using advanced facial attribute detection):

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