Detect faces in images with ease
Detect faces in an image from a URL
Detect facial expressions in images
Gaze detection using Moondream
Securely verify your face for identity without data leaks
Recognize facial expressions from images
Detect and visualize facial landmarks from a live video feed
head pose estimation
Identify and track faces in a live video stream
Identify and visualize face landmarks in images
Swap faces in images and videos
Analyze your face to detect skin conditions
Identify real or fake faces in images
iBUG Face Detection is a powerful tool designed to detect faces in images with high accuracy and ease of use. It is built to handle various image formats and provides reliable results for applications in security, entertainment, and analytics. This tool leverages advanced AI technology to identify facial features in both portrait and group images.
• Face Detection in Multiple Formats: Supports detection in images of different resolutions and formats.
• Real-Time Detection: Capable of detecting faces in real-time for video streams.
• High Accuracy: Delivers precise face detection even in challenging conditions.
• Orientation Support: Detects faces regardless of their orientation in the image.
• Batch Processing: Enables detection in multiple images simultaneously for efficiency.
• Integration Friendly: Easily integrates with other systems for seamless workflow.
What image formats does iBUG Face Detection support?
iBUG Face Detection supports common formats like JPG, PNG, and BMP. For more details, refer to the official documentation.
Can iBUG Face Detection work with video files?
Yes, it can detect faces in video streams. Ensure the video is converted to a compatible format or use real-time processing options.
How accurate is the face detection?
Accuracy is very high, but results may vary based on image quality and lighting conditions. For optimal performance, use clear, well-lit images.