Identify ethnicity group from a picture
Detect and mark facial landmarks in photos
Swap faces in videos
3D Passive Face Liveness Detection (Face Anti-Spoofing)
Swap faces in a video using an image
Swap faces in images or videos
Swap faces in photos
Swap faces in videos or images
Identify people with and without masks in images
Identify faces in uploaded images
Detect faces in uploaded images
Facial_Emotion_Recogniser
extract 68 points landmark from mediapipe-468
The Human Ethnicity Classifier is an AI-powered tool designed to identify an individual's ethnic group based on facial features in an image. This advanced face recognition technology leverages deep learning algorithms to analyze facial characteristics and predict the ethnicity of the person in the picture. The classifier provides a responsible and automated solution for understanding ethnic backgrounds, ensuring accuracy and efficiency.
• Image Upload: Easily upload images in JPEG, PNG, or BMP formats for analysis.
• Multiple Ethnicity Options: The classifier supports a wide range of ethnic groups, including Asian, African, Caucasian, Hispanic, and more.
• High Accuracy: Utilizes advanced AI models to ensure accurate ethnicity prediction.
• Facial Analysis: Focuses on facial features to determine ethnic origin.
• Privacy-Focused: Complies with data privacy standards to protect user information.
1. Is the Human Ethnicity Classifier accurate?
The classifier is designed to provide highly accurate results, but accuracy may vary depending on image quality and the distinctiveness of facial features.
2. Which image formats are supported?
The tool supports JPEG, PNG, and BMP formats for image uploads.
3. Can it work on any face?
The classifier is optimized for front-facing, clear images of single individuals. Results may be less accurate for group photos or low-quality images.