Identify emotions from a face photo
face parsing
3D Passive Face Liveness Detection (Face Anti-Spoofing)
2 head pose estimation with mediapipe and trained-model
Swap faces in videos
Mark attendance using face recognition
FaceOnLive On-Premise Solution
Detect and visualize facial landmarks from a live video feed
Swap faces in photos
Fuse faces into images
extract 68 points landmark from mediapipe-468
Identify faces in photos and label them
Detect faces in an image from a URL
Expression Classifier is an advanced face recognition tool designed to identify and analyze human emotions from facial expressions in photographs. Leveraging cutting-edge AI technology, it provides accurate and instantaneous interpretation of emotional states, making it a valuable resource for researchers, developers, and users interested in understanding facial cues.
What file formats does Expression Classifier support?
Expression Classifier supports JPG, PNG, BMP, and other standard image formats. For best results, use high-resolution images.
Can I process multiple faces in a single image?
Yes, the tool can detect and analyze multiple faces in one image, providing individual results for each face.
How accurate is the emotion detection?
Accuracy depends on image quality, lighting, and the clarity of the facial expression. Typical accuracy ranges from 85% to 95% for clear images.