Turn images into detailed face masks
Find faces in real-time video stream
Swap faces in videos
Face Recognition
Analyze your face to detect skin conditions
Identify and track faces in a live video stream
Facial_Emotion_Recogniser
Swap faces in photos or videos
Detect faces in images with ease
Upload and search for faces in a database
Detect if an image shows a live person
happy or some other emotion - facial expression
Replace faces in videos
CelebAMask HQ Face Parsing is a state-of-the-art face recognition tool designed to turn images into detailed face masks. It is built on the CelebA-HQ dataset, which provides high-quality face images, and is optimized for accurate face segmentation. This tool is particularly useful for tasks like facial analysis, image editing, and AI-powered photo enhancements.
• High-Quality Segmentation: Generates detailed face masks with pixel-level accuracy.
• Multiple Labels: Supports segmentation of various facial components such as skin, hair, eyes, eyebrows, nose, mouth, and more.
• Real-Time Processing: Enables quick and efficient face parsing for real-world applications.
• Celebrity-Focused: Tailored for celebrity images but works well on general face datasets.
• Customizable: Allows users to define specific regions of interest for focused processing.
• Research-Grade Accuracy: Built on advanced deep learning architectures for reliable results.
What types of images work best with CelebAMask HQ Face Parsing?
CelebAMask HQ is optimized for high-quality face images, especially those from the CelebA-HQ dataset. However, it works well with most frontal-facing face images.
Can I use CelebAMask HQ for non-celebrity images?
Yes, CelebAMask HQ is designed to work with a wide range of face images, not just celebrities. It provides consistent results across diverse datasets.
How accurate is the face parsing?
CelebAMask HQ achieves state-of-the-art accuracy in facial segmentation tasks, making it suitable for professional and research applications.