How it works?
This system uses an accurate machine learning model that has been trained on a large dataset of images. In particular, it must be noted that this dataset was constructed in a very specific way: it includes images with clear backgrounds that are taken from a fixed distance so as to optimize pixel count. The image also must have even lighting and a high resolution.
First, this system divides the image into small rectangular blocks, which are then compared to each other to determine if they contain similar patterns (i.e. if one block contains a face, so should another). The algorithm then determines how close each rectangle is to its neighbors (the greater the distance between them, the less similar they are), as well as how different they are in size (the greater their size difference, the less similar they are). From this information, the system can then estimate gender and age based on a model trained on the image dataset.
This API is one of the most recent and effective tools available on the market. It is simple to use and can be integrated into your platform in no time at all! You just need to enter the URL of your image and then you will receive an answer in just a few seconds! It is really that simple! You can even test it without any type of payment by entering our slots and choosing between five different genders or seven different ages! And if you want to test it more thoroughly, you can access a complete list of prices by subscribing to one of its plans! This API offers
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.