The Mxface API provides effective Face Landmark Detection by analyzing key areas of the face, including the eyes, nose, and lips. This technology allows for accurate emotion detection and head pose estimation using Facial Landmark Points.
Our Face Landmark API uses a 128-point vector scale to map the detected faces. This enables the identification and tracking of important facial features, which can be used for various applications, such as:
Our API can detect landmarks for multiple faces in a single image, making it suitable for diverse applications. Whether you're building security solutions or enhancing user experiences, the Mxface API provides the tools you need.
Face landmark detection is the process of detecting important features on a face, such as the eyes, nose, mouth, and jawline. Using these precise features, our strong system enables expanded functionality such as emotion detection, age estimate, and head posture identification. Our Mxface API analyzes facial traits and maps them to a 128-point vector scale for accurate identification and tracking.
Mxface stands for innovation in facial recognition technology, combining advanced AI and biometric solutions. It offers precise detection and mapping of facial traits for applications like emotion analysis. age estimation, and identitiy verification
Getting started with our Mxface API.
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Create a free account on our website to obtain access to our extensive API documentation and developer resources.
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With our extensive API documentation, you can simply incorporate facial landmark detection features into your apps.
Use the free trial to test out various capabilities like as facial landmark tracking, emotion recognition, and real-time face alignment.
Utilizing face landmarks offers significant advantages, particularly in comparing similar-looking faces within a database or video stream, allowing for effective grouping and clustering.
128 Distinct Landmarks:
Accurately maps key facial features for detailed analysis.
Seamless Face Matching:
Effortlessly match faces in both images and videos.
Unlimited Faces:
Detect and analyze an unlimited number of faces in a single image or scene.
Versatile Angle Compatibility:
Our technology performs flawlessly with faces captured from any angle.
Try Face Landmarks Detection now by uploading a local picture.
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Click or drag Image to this area to upload
Support for a single Image upload. Only PNG,JPG, JPEG, BMP file accepted. Image resolutions up to 1920 x 1080.
Not less than 45 degrees face up and 30 degrees face down.
The yaw should be less than 45 degrees in either direction.
Use an image of a face with both eyes open and visible.
Use an image of a face that is not tightly cropped.
Avoid items that block the face, such as headbands and masks.
Image resolutions up to 1920 x 1080.
Use images with flat lighting on the face, without shadows.
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One of the standout features of our Face Landmark Detection API is its exceptional speed. It completes facial landmark detection in just 1 millisecond, enabling real-time tracking of landmark points. Our API calculates and identifies key locations on a face, ensuring precise detection for various applications.
In cases where a landmark point may not be accurately detected due to image blur, our API intelligently estimates the location based on the positions of surrounding points. This capability ensures reliable performance, even in challenging conditions.
Experience the efficiency and accuracy of our Face Landmark Detection API with Mxface.
A: Face landmark detection identifies key points on a face, while face recognition matches a detected face against a database to determine identity.
A: Our API is optimized for speed, employing advanced algorithms that facilitate landmark detection in nearly real-time, enabling seamless user experiences.
A: Yes! Our API is robust and can handle variations in lighting, ensuring accurate detection even in challenging environments.
A: No, our API allows for the detection of multiple faces within a single image, making it suitable for crowded scenes and group photos.
A: Applications in security, retail, social media, gaming, and more can leverage facial landmark detection to enhance user engagement and improve digital experiences.
