The Application Programming Interface is a tool that was created to allow developers to request and use information in their applications or systems. The age and gender detector API uses machine learning and computer vision technologies to detect the age and gender of people in an image. This tool can be used for many different applications, such as image classification and sorting, security, marketing, and more.
How does this API work?
The age and gender detector API works by automatically analyzing and categorizing images based on their content. It can be used to automatically identify people in an image based on their age and gender. In addition, it can also be used to determine whether a person is male or female. The API uses cutting-edge technology to analyze an image and extract information from it. It then uses this information to make a prediction about the age or gender of the person in the image.
This API enables developers to integrate this functionality into their own applications or websites. The API can be used for a wide range of applications, such as image moderation, marketing or advertising campaigns, or even fine-tuning user experience on a website or app.
The API uses an image URL as input and returns data in JSON format. You can filter images by their gender (male or female) or by their estimated age (young, adult, or senior). You can also get the confidence score, which indicates the accuracy of the prediction.
How do you use this API?
Detect the estimated person’s age in a given image. Also, detect its gender. Ideal to sort and verify images.
To make use of it, you must first:
1- Go to Age and Gender Detector API and simply click on the button “Subscribe for free” to start using the API.
2- After signing up in Zyla API Hub, you’ll be given your personal API key. Using this one-of-a-kind combination of numbers and letters, you’ll be able to use, connect, and manage APIs!
3- Employ the different API endpoints depending on what you are looking for.
4- Once you meet your needed endpoint, make the API call by pressing the button “run” and see the results on your screen.