About the API:
The Facial Features Recognition API is a powerful tool for detecting and recognizing facial features in an image. It uses advanced machine learning algorithms to analyze images and detect faces, and then extract features such as age, gender, and facial landmarks. This information can be used for various purposes such as security, surveillance, user identification, and demographic analysis.
The API can process images in various formats such as JPG, PNG, and BMP, and can detect faces in images with different orientations, lighting conditions, and facial expressions. It can also recognize multiple faces in an image and return detailed information about each face. The API returns the extracted information in a structured format like JSON or XML, making it easy to integrate into other applications.
This API can be used in a variety of contexts such as security systems, where it can be used to identify and track individuals, in retail for demographic analysis, and in online platforms for user identification. It can also be used in fields such as healthcare, finance, and education.
The API is user-friendly and easy to use, it can be integrated into a wide range of applications, making it a versatile tool for facial recognition. With the increasing importance of security, user identification, and demographic analysis, the Facial Features Recognition API is a valuable tool for any organization looking to improve its capabilities in these areas.
To use this endpoint you must indicate the URL of an image in the parameter.
Face Analyzer by URL - Endpoint Features
| Object | Description |
|---|---|
Request Body |
[Required] Json |
[{"probability":0.9999412298202515,"rectangle":{"left":867.9749787449837,"top":484.44452724773436,"right":1504.0717796459794,"bottom":1352.9718361893667},"margin_rectangle":{"left":868,"top":484,"right":1504,"bottom":1353},"landmarks":{"left_eye":{"x":1026.2618408203125,"y":804.6812133789062},"right_eye":{"x":1333.5836181640625,"y":800.2019653320312},"nose":{"x":1168.6751708984375,"y":993.4847412109375},"mouth_left":{"x":1048.34521484375,"y":1147.9183349609375},"mouth_right":{"x":1313.7742919921875,"y":1140.2977294921875}}}]
curl --location --request POST 'https://zylalabs.com/api/1067/facial+features+recognition+api/7017/face+analyzer+by+url' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"url": "https://upload.wikimedia.org/wikipedia/commons/4/48/Outdoors-man-portrait_%28cropped%29.jpg"
}'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The Face Analyzer by URL endpoint returns detailed information about detected faces in an image, including probabilities of detection, facial landmarks (like eyes, nose, and mouth), and bounding rectangles that outline each face.
Key fields in the response data include "probability" (confidence level of detection), "rectangle" (coordinates of the face bounding box), and "landmarks" (specific facial feature coordinates).
The API returns data in JSON format, structured as an array of objects. Each object contains fields for probability, rectangle coordinates, and landmarks, making it easy to parse and integrate into applications.
The endpoint provides information on detected faces, including age, gender, and specific facial landmarks, allowing for comprehensive facial feature analysis.
The response data is organized as an array of face detection results. Each result includes a probability score, bounding rectangle, and a set of landmark coordinates for each detected face.
In the response, "probability" indicates the confidence level of the face detection, "rectangle" defines the area of the detected face, and "landmarks" provide precise coordinates for facial features like eyes and mouth.
Users can customize their requests by providing different image URLs to analyze various images. The API automatically processes the provided image and returns relevant facial feature data.
Typical use cases include security monitoring, user identification on online platforms, demographic analysis in retail, and attendance tracking in educational settings, leveraging the detailed facial feature data provided.
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