Cloudinary Blog

Advanced Facial Attributes Detection for Image Transformation

Advanced Facial Attributes Detection for Image Transformation

Update - December 2015: The add-on described in this post is no longer available since ReKognition terminated their services. However, all features described here are still available via a different and even better add-on: Advanced Facial Attributes Detection

Face Detection is a great feature that enables the automatic modification of images according to the detected faces within an image, making it simple to intelligently crop, position, resize and transform your images appropriately.

Facial Attribute Detection takes the process even further and extracts meaningful advanced data about the face(s) in the image, including the exact location of facial features. This allows you even greater control over your image categorization, and to automatically use these details to smartly crop, position, rotate and overlay images based on the detected facial features.

Facial Attribute Detection lets you know more than just the location of a person's facial features. How are they posed in 3 dimensions? Is the person wearing glasses? Do they have their eyes closed? Mouth open? Have a mustache or beard? What is the person's race, age and gender? What emotion are they displaying? Are they smiling? How beautiful are they? Retrieving this information makes it a simple matter to automatically categorize and tag your collection of images.

Webinar
How to Optimize for Page Load Speed

All of this is made possible with the ReKognition add-on, which has been directly integrated within Cloudinary’s infrastructure, further extending Cloudinary’s built-in face detection to a robust Facial Attribute Detection feature. By simply setting the detection parameter to rekognition_face when calling Cloudinary's upload API, ReKognition is utilized to automatically extract detailed face attributes from the uploaded image.

Ruby:
Copy to clipboard
Cloudinary::Uploader.upload("woman.jpg", 
              :detection => "rekognition_face")
PHP:
Copy to clipboard
\Cloudinary\Uploader::upload("woman.jpg", 
              array(
               "detection" => "rekognition_face"));
Python:
Copy to clipboard
cloudinary.uploader.upload("woman.jpg", 
              detection = "rekognition_face")
Node.js:
Copy to clipboard
cloudinary.uploader.upload("woman.jpg", 
              function(result) {console.log(result); }, { detection: "rekognition_face" });
Java:
Copy to clipboard
cloudinary.uploader().upload("woman.jpg", 
              Cloudinary.asMap("detection", "rekognition_face"));

Original woman image

The example JSON snippet displayed from the example image above contains the result returned from the face ReKognition request, which includes very detailed information regarding the face that was automatically detected in the image.

Copy to clipboard
{"rekognition_face": 
 "status": "complete",
  "data": [
    {
      "boundingbox": {
        "tl": {"x": 231.45, "y": 102.52},
        "size": {"width": 240.77, "height": 240.77 }},
      "confidence": 1,
      "eye_left": {"x":309.6, "y": 190.1},
      "eye_right": {"x": 407.9, "y": 213.6},
      "nose": {"x": 199.1, "y": 204.0},
      
      
      
      "smile": 0.96,
      "glasses": 0.01,
      "sunglasses": 0.04,
      "beard": 0,
      "mustache": 0,
      "eye_closed": 0,
      "mouth_open_wide": 0.73,
      "beauty": 0.63531,
      "sex": 1
    }
  ]
}

You can also use Cloudinary's Admin API to apply ReKognition face detection to already uploaded images (based on their public IDs), and the face attributes that were previously extracted are also available using the Admin API's show resource details method.

Face detection based cropping

Based on the position of facial attributes detected by the ReKognition add-on, Cloudinary can crop your images to focus on the detected facial features, while providing a large set of image transformation and cropping options when using a Cloudinary delivery URL or calling Cloudinary's image API.

To focus an automatic crop on the detected faces, simply set the crop parameter to thumb, fill or crop and the gravity parameter to rek_faces (set gravity to rek_face for focusing on the single largest detected face in the image). The resulting images are dynamically generated on-the-fly and the result is delivered via a fast CDN.

Original photo

The following code sample generates a 150x150 thumbnail of the nice_coupleimage shown above, using multiple face detection based cropping.

Ruby:
Copy to clipboard
cl_image_tag("nice_couple.jpg", :gravity=>"rek_faces", :width=>150, :height=>150, :crop=>"thumb")
PHP:
Copy to clipboard
cl_image_tag("nice_couple.jpg", array("gravity"=>"rek_faces", "width"=>150, "height"=>150, "crop"=>"thumb"))
Python:
Copy to clipboard
CloudinaryImage("nice_couple.jpg").image(gravity="rek_faces", width=150, height=150, crop="thumb")
Node.js:
Copy to clipboard
cloudinary.image("nice_couple.jpg", {gravity: "rek_faces", width: 150, height: 150, crop: "thumb"})
Java:
Copy to clipboard
cloudinary.url().transformation(new Transformation().gravity("rek_faces").width(150).height(150).crop("thumb")).imageTag("nice_couple.jpg");
JS:
Copy to clipboard
cloudinary.imageTag('nice_couple.jpg', {gravity: "rek_faces", width: 150, height: 150, crop: "thumb"}).toHtml();
jQuery:
Copy to clipboard
$.cloudinary.image("nice_couple.jpg", {gravity: "rek_faces", width: 150, height: 150, crop: "thumb"})
React:
Copy to clipboard
<Image publicId="nice_couple.jpg" >
  <Transformation gravity="rek_faces" width="150" height="150" crop="thumb" />
</Image>
Vue.js:
Copy to clipboard
<cld-image publicId="nice_couple.jpg" >
  <cld-transformation gravity="rek_faces" width="150" height="150" crop="thumb" />
</cld-image>
Angular:
Copy to clipboard
<cl-image public-id="nice_couple.jpg" >
  <cl-transformation gravity="rek_faces" width="150" height="150" crop="thumb">
  </cl-transformation>
</cl-image>
.Net:
Copy to clipboard
cloudinary.Api.UrlImgUp.Transform(new Transformation().Gravity("rek_faces").Width(150).Height(150).Crop("thumb")).BuildImageTag("nice_couple.jpg")
Android:
Copy to clipboard
MediaManager.get().url().transformation(new Transformation().gravity("rek_faces").width(150).height(150).crop("thumb")).generate("nice_couple.jpg");
iOS:
Copy to clipboard
imageView.cldSetImage(cloudinary.createUrl().setTransformation(CLDTransformation().setGravity("rek_faces").setWidth(150).setHeight(150).setCrop("thumb")).generate("nice_couple.jpg")!, cloudinary: cloudinary)
150x150 thumbnail of nice_couple.jpg

Eyes detection based cropping

Cloudinary can also dynamically crop your images based on the position of detected eyes. Simply set the gravity parameter to rek_eyes (g_rek_eyes for URLs) to center the image on the detected eyes. The example below delivers a 200x60 thumbnail centered on the eyes:

Ruby:
Copy to clipboard
cl_image_tag("woman.jpg", :gravity=>"rek_eyes", :width=>200, :height=>60, :crop=>"thumb")
PHP:
Copy to clipboard
cl_image_tag("woman.jpg", array("gravity"=>"rek_eyes", "width"=>200, "height"=>60, "crop"=>"thumb"))
Python:
Copy to clipboard
CloudinaryImage("woman.jpg").image(gravity="rek_eyes", width=200, height=60, crop="thumb")
Node.js:
Copy to clipboard
cloudinary.image("woman.jpg", {gravity: "rek_eyes", width: 200, height: 60, crop: "thumb"})
Java:
Copy to clipboard
cloudinary.url().transformation(new Transformation().gravity("rek_eyes").width(200).height(60).crop("thumb")).imageTag("woman.jpg");
JS:
Copy to clipboard
cloudinary.imageTag('woman.jpg', {gravity: "rek_eyes", width: 200, height: 60, crop: "thumb"}).toHtml();
jQuery:
Copy to clipboard
$.cloudinary.image("woman.jpg", {gravity: "rek_eyes", width: 200, height: 60, crop: "thumb"})
React:
Copy to clipboard
<Image publicId="woman.jpg" >
  <Transformation gravity="rek_eyes" width="200" height="60" crop="thumb" />
</Image>
Vue.js:
Copy to clipboard
<cld-image publicId="woman.jpg" >
  <cld-transformation gravity="rek_eyes" width="200" height="60" crop="thumb" />
</cld-image>
Angular:
Copy to clipboard
<cl-image public-id="woman.jpg" >
  <cl-transformation gravity="rek_eyes" width="200" height="60" crop="thumb">
  </cl-transformation>
</cl-image>
.Net:
Copy to clipboard
cloudinary.Api.UrlImgUp.Transform(new Transformation().Gravity("rek_eyes").Width(200).Height(60).Crop("thumb")).BuildImageTag("woman.jpg")
Android:
Copy to clipboard
MediaManager.get().url().transformation(new Transformation().gravity("rek_eyes").width(200).height(60).crop("thumb")).generate("woman.jpg");
iOS:
Copy to clipboard
imageView.cldSetImage(cloudinary.createUrl().setTransformation(CLDTransformation().setGravity("rek_eyes").setWidth(200).setHeight(60).setCrop("thumb")).generate("woman.jpg")!, cloudinary: cloudinary)
200x60 thumbnail centered on eyes

Facial overlays

Thanks to the detailed information on the position of facial attributes detected by ReKognition, Cloudinary can add overlays while taking into account the pose of the face, and automatically scale and rotate the overlay accordingly.

Ruby:
Copy to clipboard
cl_image_tag("HarlequinMask.jpg")
PHP:
Copy to clipboard
cl_image_tag("HarlequinMask.jpg")
Python:
Copy to clipboard
CloudinaryImage("HarlequinMask.jpg").image()
Node.js:
Copy to clipboard
cloudinary.image("HarlequinMask.jpg")
Java:
Copy to clipboard
cloudinary.url().imageTag("HarlequinMask.jpg");
JS:
Copy to clipboard
cloudinary.imageTag('HarlequinMask.jpg').toHtml();
jQuery:
Copy to clipboard
$.cloudinary.image("HarlequinMask.jpg")
React:
Copy to clipboard
<Image publicId="HarlequinMask.jpg" >

</Image>
Vue.js:
Copy to clipboard
<cld-image publicId="HarlequinMask.jpg" >

</cld-image>
Angular:
Copy to clipboard
<cl-image public-id="HarlequinMask.jpg" >

</cl-image>
.Net:
Copy to clipboard
cloudinary.Api.UrlImgUp.BuildImageTag("HarlequinMask.jpg")
Android:
Copy to clipboard
MediaManager.get().url().generate("HarlequinMask.jpg");
iOS:
Copy to clipboard
imageView.cldSetImage(cloudinary.createUrl().generate("HarlequinMask.jpg")!, cloudinary: cloudinary)
Harlequin mask

For example, in order to automatically overlay the above image of a harlequin mask scaled to 160% relative to the detected eyes in the main image:

Ruby:
Copy to clipboard
cl_image_tag("woman.jpg", :flags=>"region_relative", :gravity=>"rek_eyes", :overlay=>"HarlequinMask", :width=>1.6, :crop=>"scale")
PHP:
Copy to clipboard
cl_image_tag("woman.jpg", array("flags"=>"region_relative", "gravity"=>"rek_eyes", "overlay"=>"HarlequinMask", "width"=>1.6, "crop"=>"scale"))
Python:
Copy to clipboard
CloudinaryImage("woman.jpg").image(flags="region_relative", gravity="rek_eyes", overlay="HarlequinMask", width=1.6, crop="scale")
Node.js:
Copy to clipboard
cloudinary.image("woman.jpg", {flags: "region_relative", gravity: "rek_eyes", overlay: "HarlequinMask", width: "1.6", crop: "scale"})
Java:
Copy to clipboard
cloudinary.url().transformation(new Transformation().flags("region_relative").gravity("rek_eyes").overlay(new Layer().publicId("HarlequinMask")).width(1.6).crop("scale")).imageTag("woman.jpg");
JS:
Copy to clipboard
cloudinary.imageTag('woman.jpg', {flags: "region_relative", gravity: "rek_eyes", overlay: new cloudinary.Layer().publicId("HarlequinMask"), width: "1.6", crop: "scale"}).toHtml();
jQuery:
Copy to clipboard
$.cloudinary.image("woman.jpg", {flags: "region_relative", gravity: "rek_eyes", overlay: new cloudinary.Layer().publicId("HarlequinMask"), width: "1.6", crop: "scale"})
React:
Copy to clipboard
<Image publicId="woman.jpg" >
  <Transformation flags="region_relative" gravity="rek_eyes" overlay="HarlequinMask" width="1.6" crop="scale" />
</Image>
Vue.js:
Copy to clipboard
<cld-image publicId="woman.jpg" >
  <cld-transformation flags="region_relative" gravity="rek_eyes" overlay="HarlequinMask" width="1.6" crop="scale" />
</cld-image>
Angular:
Copy to clipboard
<cl-image public-id="woman.jpg" >
  <cl-transformation flags="region_relative" gravity="rek_eyes" overlay="HarlequinMask" width="1.6" crop="scale">
  </cl-transformation>
</cl-image>
.Net:
Copy to clipboard
cloudinary.Api.UrlImgUp.Transform(new Transformation().Flags("region_relative").Gravity("rek_eyes").Overlay(new Layer().PublicId("HarlequinMask")).Width(1.6).Crop("scale")).BuildImageTag("woman.jpg")
Android:
Copy to clipboard
MediaManager.get().url().transformation(new Transformation().flags("region_relative").gravity("rek_eyes").overlay(new Layer().publicId("HarlequinMask")).width(1.6).crop("scale")).generate("woman.jpg");
iOS:
Copy to clipboard
imageView.cldSetImage(cloudinary.createUrl().setTransformation(CLDTransformation().setFlags("region_relative").setGravity("rek_eyes").setOverlay("HarlequinMask").setWidth(1.6).setCrop("scale")).generate("woman.jpg")!, cloudinary: cloudinary)
Harlequin masked face

Heres another example, this time with glasses.

Ruby:
Copy to clipboard
cl_image_tag("glasses.jpg")
PHP:
Copy to clipboard
cl_image_tag("glasses.jpg")
Python:
Copy to clipboard
CloudinaryImage("glasses.jpg").image()
Node.js:
Copy to clipboard
cloudinary.image("glasses.jpg")
Java:
Copy to clipboard
cloudinary.url().imageTag("glasses.jpg");
JS:
Copy to clipboard
cloudinary.imageTag('glasses.jpg').toHtml();
jQuery:
Copy to clipboard
$.cloudinary.image("glasses.jpg")
React:
Copy to clipboard
<Image publicId="glasses.jpg" >

</Image>
Vue.js:
Copy to clipboard
<cld-image publicId="glasses.jpg" >

</cld-image>
Angular:
Copy to clipboard
<cl-image public-id="glasses.jpg" >

</cl-image>
.Net:
Copy to clipboard
cloudinary.Api.UrlImgUp.BuildImageTag("glasses.jpg")
Android:
Copy to clipboard
MediaManager.get().url().generate("glasses.jpg");
iOS:
Copy to clipboard
imageView.cldSetImage(cloudinary.createUrl().generate("glasses.jpg")!, cloudinary: cloudinary)
Glasses

Overlaying the above image scaled to 150% relative to the detected eyes in the main image, which is then presented as a 200 pixel wide round thumbnail centered on the face:

Ruby:
Copy to clipboard
cl_image_tag("woman.jpg", :transformation=>[
  {:flags=>"region_relative", :gravity=>"rek_eyes", :overlay=>"glasses", :width=>1.5, :crop=>"scale"},
  {:width=>200, :gravity=>"face", :radius=>"max", :crop=>"thumb"}
  ])
PHP:
Copy to clipboard
cl_image_tag("woman.jpg", array("transformation"=>array(
  array("flags"=>"region_relative", "gravity"=>"rek_eyes", "overlay"=>"glasses", "width"=>1.5, "crop"=>"scale"),
  array("width"=>200, "gravity"=>"face", "radius"=>"max", "crop"=>"thumb")
  )))
Python:
Copy to clipboard
CloudinaryImage("woman.jpg").image(transformation=[
  {'flags': "region_relative", 'gravity': "rek_eyes", 'overlay': "glasses", 'width': 1.5, 'crop': "scale"},
  {'width': 200, 'gravity': "face", 'radius': "max", 'crop': "thumb"}
  ])
Node.js:
Copy to clipboard
cloudinary.image("woman.jpg", {transformation: [
  {flags: "region_relative", gravity: "rek_eyes", overlay: "glasses", width: "1.5", crop: "scale"},
  {width: 200, gravity: "face", radius: "max", crop: "thumb"}
  ]})
Java:
Copy to clipboard
cloudinary.url().transformation(new Transformation()
  .flags("region_relative").gravity("rek_eyes").overlay(new Layer().publicId("glasses")).width(1.5).crop("scale").chain()
  .width(200).gravity("face").radius("max").crop("thumb")).imageTag("woman.jpg");
JS:
Copy to clipboard
cloudinary.imageTag('woman.jpg', {transformation: [
  {flags: "region_relative", gravity: "rek_eyes", overlay: new cloudinary.Layer().publicId("glasses"), width: "1.5", crop: "scale"},
  {width: 200, gravity: "face", radius: "max", crop: "thumb"}
  ]}).toHtml();
jQuery:
Copy to clipboard
$.cloudinary.image("woman.jpg", {transformation: [
  {flags: "region_relative", gravity: "rek_eyes", overlay: new cloudinary.Layer().publicId("glasses"), width: "1.5", crop: "scale"},
  {width: 200, gravity: "face", radius: "max", crop: "thumb"}
  ]})
React:
Copy to clipboard
<Image publicId="woman.jpg" >
  <Transformation flags="region_relative" gravity="rek_eyes" overlay="glasses" width="1.5" crop="scale" />
  <Transformation width="200" gravity="face" radius="max" crop="thumb" />
</Image>
Vue.js:
Copy to clipboard
<cld-image publicId="woman.jpg" >
  <cld-transformation flags="region_relative" gravity="rek_eyes" overlay="glasses" width="1.5" crop="scale" />
  <cld-transformation width="200" gravity="face" radius="max" crop="thumb" />
</cld-image>
Angular:
Copy to clipboard
<cl-image public-id="woman.jpg" >
  <cl-transformation flags="region_relative" gravity="rek_eyes" overlay="glasses" width="1.5" crop="scale">
  </cl-transformation>
  <cl-transformation width="200" gravity="face" radius="max" crop="thumb">
  </cl-transformation>
</cl-image>
.Net:
Copy to clipboard
cloudinary.Api.UrlImgUp.Transform(new Transformation()
  .Flags("region_relative").Gravity("rek_eyes").Overlay(new Layer().PublicId("glasses")).Width(1.5).Crop("scale").Chain()
  .Width(200).Gravity("face").Radius("max").Crop("thumb")).BuildImageTag("woman.jpg")
Android:
Copy to clipboard
MediaManager.get().url().transformation(new Transformation()
  .flags("region_relative").gravity("rek_eyes").overlay(new Layer().publicId("glasses")).width(1.5).crop("scale").chain()
  .width(200).gravity("face").radius("max").crop("thumb")).generate("woman.jpg");
iOS:
Copy to clipboard
imageView.cldSetImage(cloudinary.createUrl().setTransformation(CLDTransformation()
  .setFlags("region_relative").setGravity("rek_eyes").setOverlay("glasses").setWidth(1.5).setCrop("scale").chain()
  .setWidth(200).setGravity("face").setRadius("max").setCrop("thumb")).generate("woman.jpg")!, cloudinary: cloudinary)
Glasses overlayed on eyes

Summary

The ReKognition add-on is utilized to automatically extract detailed face attributes from your images, and enables advanced image manipulation and categorization based on the detected facial data, with relative scaling and rotation of overlays achieved automatically.

ReKognition detect face attributes add-on

The ReKognition add-on is available to all our free and paid plans. If you don't have a Cloudinary account, you are welcome to sign up to our free account and try it out.

Update - December 2015: The add-on described in this post is no longer available since ReKognition terminated their services. However, all features described here are still available via a different and even better add-on: Advanced Facial Attributes Detection

Recent Blog Posts

Cloudinary and Contentful Make Modern Content Management Easier

I am pleased to share that Cloudinary and Contentful have joined forces to further streamline the creation, processing, and delivery of online content through Cloudinary’s digital asset management (DAM) solution and advanced transformation and delivery capabilities for images and video. What’s more, the partnership delivers a headless approach to DAM. By leveraging APIs for media management tasks, marketers and developers alike benefit from an integrated stack of optimized assets for optimization and automation. As a result, page loads are fast and beautiful, and at scale—with less overhead and effort.

Read more
Introducing Cloudinary's Nuxt Module

Since its initial release in October 2016 by the Chopin brothers as a server-side framework that runs on top of Vue.js, Nuxt (aka Nuxt.js) has gained prominence in both intuitiveness and performance. The framework offers numerous built-in features based on a modular architecture, bringing ease and simplicity to web development. Not surprisingly, Nuxt.js has seen remarkable growth in adoption by the developer community along with accolades galore. At this writing, Nuxt has earned over 30K stars on GitHub and 96 active modules with over a million downloads per month. And the upward trend is ongoing.

Read more
How Quality and Quantity can go Hand in Hand

When it comes to quality versus quantity, you’ll often hear people say, “It’s the quality that counts, not the quantity”. While that’s true in many situations, there are also cases where you want both quality and quantity. You may have thousands of images on your website and you want them all to look great. This is especially important if your website allows users to upload their own content, for example, to sell their own products or services. You don't want their poor quality images to reflect badly on your brand.

Read more
Product Videos 101: What Makes Them Great?

A product’s benefits and usage, including its value proposition, features, and instructive details, are best demonstrated through video. Product-video types vary, depending on the funnel, channel, and audience, the most popular ones being demos, reviews, installation, and how-tos.

Read more