Face recognition models are an essential component of modern AI applications. They enable systems to identify and verify individuals based on their facial features. This page provides an overview of the various face recognition models available on our platform.
Available Models
- DeepFace: A deep learning-based face recognition system developed by Facebook.
- FaceNet: A deep learning model that directly maps facial images to a 128-dimensional Euclidean space.
- VGG-Face: A convolutional neural network model designed for face recognition tasks.
- Dlib: An open-source machine learning library containing tools for face recognition.
How to Use
To use any of these models, simply send a request to the /en/docs/face_recognition_models endpoint with the necessary parameters.
For more detailed information on how to use these models, please refer to our Face Recognition API Documentation.
Performance
The performance of these models can vary depending on the specific task and the quality of the input data. However, all of these models have been trained on large datasets and have shown promising results in various benchmarks.
Resources
Image
Here's an example of a face recognition system in action: