Project Details
Our Facial Landmarks API provides advanced capabilities for detecting and analyzing facial landmarks with high precision. Supporting 72, 150, and 201 key points, this API covers detailed aspects of facial features, including the contours of the face, eyes, eyebrows, lips, and nose. It also offers precise localization of facial features such as the eyebrows, eyes, nose, mouth, and jawline, ensuring accurate positioning for both single and multiple faces within an image. Additionally, the API can determine the angles and poses of faces, making it a comprehensive tool for applications in beauty tech, augmented reality, facial recognition, and more. Integrate our Facial Landmarks API to enhance your projects with robust facial analysis, enabling precise feature detection, facial contouring, and pose estimation. Perfect for developers aiming to deliver cutting-edge facial analysis and recognition capabilities in their applications.
Application Scenarios
- Interactive entertainment: It supports accurate positioning of facial features and contours, and can realize interactive entertainment functions such as special effects camera, dynamic stickers, and small video play.
- Facial feature analysis: support the accurate positioning of facial features and contours to achieve facial feature analysis, landing in intelligent medical beauty and other products.
- Beauty shooting: high-precision face key points can be shaped for beauty, landing in a variety of beauty scenarios such as pictures, videos, and live broadcasts.
Featured Advantages
- High-precision algorithm: Based on a large amount of precision labeled data training, the algorithm is highly accurate, perfectly fits the face and adapts to various face postures and expressions.
- Wide range of applications: support different photos and face sizes, support various indoor, outdoor and other environmental scenarios, and facilitate various business expansion.
- Stable and reliable service: provide stable and accurate high traffic service, and support millisecond recognition response.
API Doc
