Identify and mark facial landmarks in images
Identify and match faces from webcam input
Integrate eKYC Flow to Your Project For Free
Next generation image and video face swapper
ghjkl
Identify faces in photos and label them
Upload an image to identify ages, emotions, and genders
DeepFake AI Tool for Videos & Images
Replace faces in videos with new ones
Identify real or fake faces in images
Recognize faces in video or image for attendance
Turn selfies into face insights
Securely verify your face for identity without data leaks
iBUG Face Alignment is a tool designed to identify and mark facial landmarks in images. It is primarily used in the domain of face recognition and facial analysis, helping users to locate key points such as eyes, nose, mouth, and other facial features with high precision. This tool is particularly useful for applications requiring accurate facial feature detection, such as in computer vision, machine learning, and image processing.
• Facial Landmark Detection: Accurately identifies and marks facial landmarks such as eyes, eyebrows, nose, mouth, and jawline.
• High Precision: Delivers precise results even with varying lighting conditions, head poses, and facial expressions.
• Efficiency: Optimized for quick processing, making it suitable for real-time applications.
• Customizable: Allows users to fine-tune settings for specific use cases.
What file formats does iBUG Face Alignment support?
iBUG Face Alignment supports popular image formats such as JPG, PNG, and BMP. Ensure your input image is in one of these formats for proper processing.
Can I use iBUG Face Alignment for real-time video processing?
Yes, the tool is optimized for real-time applications. However, performance may vary depending on the system's hardware and software capabilities.
How accurate is iBUG Face Alignment in challenging conditions?
The tool is designed to handle varying conditions, including different lighting, poses, and expressions. While it is highly accurate, performance may degrade slightly in extreme cases such as heavy occlusions or very low-resolution images.