Face Analysis API

Face Analysis API

This API uses Deep-Learning to provide an analysis of the faces that you pass to it.

API description

About the API:

Using deep learning, this API runs an analysis of the face URLs that you pass to it. Be able to analyze the gender and estimated age of the person, and also, additional features.  

 

What this API receives and what your API provides (input/output)?

This API will receive the image URL that you want to analyze. After running the scan, you will receive:

The number of faces detected. 

The emotion that is expressed on the face.

Estimated Age. 

Gender. 

If the person has a mask or not. 

If the person has the eyes closed or not. 

Is the mouth open or not? Is the person smiling? 

All this data will be delivered by the API. 

 

What are the most common uses cases of this API?

 

This API is ideal to use alongside other face analysis ones. You will be able to predict someone's age and avoid the users from making further actions on your platforms. 

Also, be able to determine the genders to take decisions based on that. 

Detect multiple people in one picture, so if you ask your users for a picture of themselves and you receive a picture with several people, you can stop further actions. 

Is ideal to check if the person has the eyes open or not. Be able to analyze an image and detect if the person is giving attention or sleeping. 

 

Are there any limitations to your plans?

Besides API call limitations per month, there is a rate limit of 1 API calls per second.

 

API Documentation

Endpoints


Send an image, and retrieve an accurate analysis for every detected face.



                                                                            
POST https://zylalabs.com/api/417/face+analysis+api/323/face+analyzer
                                                                            
                                                                        

Face Analyzer - Endpoint Features
Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"statusCode": 200, "body": {"success": true, "ndetected_faces": 1, "detected_faces": [{"box": {"top": 52, "left": 20, "width": 82, "height": 82}, "info": {"emotions": {"angry": 3.0766698273509974e-06, "disgust": 9.669665814726613e-07, "fear": 1.3763269635092001e-05, "happy": 0.999723494052887, "sad": 4.757318311021663e-05, "surprise": 2.798662899294868e-05, "neutral": 0.0001831190165830776}, "age": "27-33", "gender": "M", "mask": {"has_mask": false, "confidence": 0.9872702360153198}, "eyes": {"closed_eyes": false}, "mouth": {"is_smiling": true, "is_open": true}}}], "total_inference_time": 9644.298553466797}}
                                                                                                                                                                                                                    
                                                                                                    

Face Analyzer - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/417/face+analysis+api/323/face+analyzer' --header 'Authorization: Bearer YOUR_API_KEY' 

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Face Analysis API REST API, simply include your bearer token in the Authorization header.

Headers

Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.


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 Service Level
100%
 Response Time
6,321ms

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