Age and Gender Recognition API

Age and Gender Recognition API

Age and Gender Recognition API is a tool for detecting and estimating the age and gender of individuals in images. It uses advanced machine learning algorithms to accurately identify and categorize individuals, making it an essential tool for various applications, including market research, customer engagement, and security.

About the API: 

The Age and Gender Recognition API is a powerful tool for detecting and estimating the age and gender of individuals in images. This API uses advanced machine learning algorithms to accurately identify and categorize individuals, making it an essential tool for various applications in fields such as market research, customer engagement, and security.

The API is user-friendly and straightforward to use, requiring just a few lines of code to integrate into any existing application. It accepts images in various formats and returns the estimated age and gender of individuals in the image, making it a highly efficient solution for large-scale applications. Additionally, the API is highly scalable, making it suitable for use in a variety of settings, from small startups to large enterprises.

The Age and Gender Recognition API is constantly being improved to provide even more accurate results, and the developers behind it are always working to stay ahead of the curve in terms of machine learning and image recognition technologies. With its ability to quickly and accurately estimate the age and gender of individuals in images, the API has the potential to revolutionize various industries and make life easier for professionals in a range of fields.

Some of the key applications of the Age and Gender Recognition API include market research, customer engagement, and security. The API can be integrated into these systems to gather valuable demographic information, which can then be used to tailor services and marketing campaigns to specific age and gender groups. Additionally, the API can be used to enhance security systems by automatically identifying and tracking individuals based on their age and gender. Overall, the Age and Gender Recognition API is a must-have tool for anyone working in fields where demographic information is important.

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

Pass a publicly accessible image URL and receive the recognized face position and the recognized age and gender. 

What are the most common uses cases of this API?

  1. Market Research: The Age and Gender Recognition API can be used to gather valuable demographic information for market research, enabling companies to better understand their target audience and tailor their services and marketing campaigns accordingly.

  2. Customer Engagement: The API can be used to personalize customer engagement, such as by providing targeted recommendations or advertisements based on the age and gender of individuals.

  3. Security: The API can be integrated into security systems to enhance the identification and tracking of individuals based on their age and gender.

  4. Retail Analytics: Retail stores can use the API to gather demographic information about their customers, such as the age and gender of individuals visiting the store, to better understand their customer base and make informed business decisions.

  5. Human Resource Management: The API can be used in human resource management to gather demographic information about employees, such as their age and gender, to help with workforce planning and diversity initiatives.

  6. Demographic Surveys: The API can be used to gather demographic information for demographic surveys, enabling researchers to quickly and accurately gather information about the age and gender of individuals in a population.

Are there any limitations to your plans?

Besides the number of API calls, there are no other limitations. 

API Documentation

Endpoints


Endpoint for age and gender prediction. Send us link to image, we return position of detected faces and predicted age and gender.



                                                                            
POST https://www.zylalabs.com/api/1293/age+and+gender+recognition+api/1087/age+and+gender+retriever
                                                                            
                                                                        

Age and Gender Retriever - Endpoint Features
Object Description
img_url [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"detections": [{"age": 26, "gender": {"F": 0.9998929500579834, "M": 0.00010704994201660156}, "buckets": "undefinied", "crop": {"x1": 0.48995739221572876, "x2": 0.5603447556495667, "y1": 0.38415709137916565, "y2": 0.5182350277900696, "score": 0.9990142583847046}}, {"age": 23, "gender": {"F": 0.9159120321273804, "M": 0.08408796787261963}, "buckets": "undefinied", "crop": {"x1": 0.14916424453258514, "x2": 0.19994181394577026, "y1": 0.20267245173454285, "y2": 0.3004399240016937, "score": 0.9981142282485962}}, {"age": 21, "gender": {"F": 0.017176955938339233, "M": 0.9828230142593384}, "buckets": "undefinied", "crop": {"x1": 0.11665597558021545, "x2": 0.1799984574317932, "y1": 0.39447224140167236, "y2": 0.5167599320411682, "score": 0.9977598190307617}}, {"age": 31, "gender": {"F": 0.941979706287384, "M": 0.05802029371261597}, "buckets": "undefinied", "crop": {"x1": 0.8552035689353943, "x2": 0.9152976870536804, "y1": 0.12526936829090118, "y2": 0.24556846916675568, "score": 0.9971906542778015}}, {"age": 29, "gender": {"F": 0.2799234986305237, "M": 0.7200765013694763}, "buckets": "undefinied", "crop": {"x1": 0.5974730253219604, "x2": 0.6523305177688599, "y1": 0.2031356692314148, "y2": 0.31301963329315186, "score": 0.9931067824363708}}, {"age": 36, "gender": {"F": 0.6184659600257874, "M": 0.38153403997421265}, "buckets": "undefinied", "crop": {"x1": 0.7259261012077332, "x2": 0.7819247841835022, "y1": 0.4104814827442169, "y2": 0.5568183064460754, "score": 0.8733519911766052}}]}
                                                                                                                                                                                                                    
                                                                                                    

Age and Gender Retriever - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/1293/age+and+gender+recognition+api/1087/age+and+gender+retriever?img_url=https://promity.com/wp-content/uploads/2021/05/image-0111a.jpg' --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 Age and Gender Recognition 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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The API is designed to detect and estimate the age and gender of individuals in images.

The API has one endpoint, "AGE AND GENDER RETRIEVER," which performs age and gender prediction based on the provided image.

To use the "AGE AND GENDER RETRIEVER" endpoint, you need to send the public URL image containing the face you want to analyze.

The API response includes the position of the detected faces within the image, along with the predicted age and gender.

Yes, the API is capable of detecting and estimating the age and gender of multiple faces within a single image.

The image link should be a URL pointing to an image file accessible on the internet. The API will retrieve the image from the provided link for analysis.

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