Best Masking
Models that detect people, hands, faces, or facial regions and return clean binary masks for downstream editing workflows. Useful for inpainting, erasure, selective enhancement, and batch automation where consistent mask extraction matters.
Best rated
YOLOv8s Face is a face-focused image masking model that detects realistic 2D faces and produces black-and-white masks for each matched region. Compared with smaller variants, it is better suited to workflows that need stronger detection accuracy and cleaner face coverage.
Featured Models
Top-performing models in this category, recommended by our community and performance benchmarks.
YOLOv8s Person Seg is a person segmentation model that produces black-and-white masks for detected human subjects with stronger precision than smaller variants. It is better suited to workflows that need cleaner subject contours for inpainting, compositing, or detail enhancement.
MediaPipe Face Mesh is a face masking model built on dense facial landmark topology. It produces black-and-white masks with more contour awareness than simple bounding-box detectors, making it useful for precision face inpainting, facial retouching, and detail enhancement pipelines.
MediaPipe Face Full is an image masking model for realistic face detection using the full-range MediaPipe face detector. It generates black-and-white masks around detected faces and is useful when the subject may appear farther from the camera or occupy a smaller portion of the frame.
YOLOv8n Person Seg is a lightweight person segmentation model that generates black-and-white masks for detected people in an image. It is useful for subject-isolated inpainting, person-targeted enhancement, and automated mask generation where speed and low compute cost matter.
YOLOv8n Face is a lightweight image masking model that detects realistic 2D faces and returns black-and-white masks for each detection. It is designed for fast automated mask generation in inpainting and detail enhancement workflows where throughput matters more than maximum facial precision.
YOLOv8n Hand is a lightweight image masking model for detecting hands in realistic 2D imagery and returning black-and-white masks for each detection. It is useful for automated hand-focused inpainting, hand detail enhancement, and batch masking workflows.
MediaPipe Nose + Eyes Mesh is a facial-feature masking model that generates a combined black-and-white mask for the nose and eye regions. It is useful for portrait retouching, selective facial enhancement, and inpainting tasks that focus on central facial features.
MediaPipe Face Mesh Eyes Only is a feature-targeted image masking model that isolates the eye regions from MediaPipe face landmarks and returns black-and-white masks. It is useful for selective inpainting, beauty workflows, stylization, and localized eye-area enhancement.
MediaPipe Eyes + Lips Mesh is a facial-feature masking model that combines eye-region and lip-region masks into a single black-and-white output. It is useful for selective beauty edits, expression-focused inpainting, and localized detail enhancement workflows.
MediaPipe Eyes Mesh is an image masking model specialized for generating black-and-white masks over the eye regions using MediaPipe facial landmarks. It is suited to selective edits, makeup-style retouching, and targeted eye-area enhancement workflows.
MediaPipe Lips Mesh is a facial-feature masking model that isolates the lips using MediaPipe landmark topology and returns black-and-white masks. It is useful for selective lip edits, makeup transfers, restoration, and targeted inpainting workflows.
MediaPipe Nose + Lips Mesh is a facial-feature masking model that returns a combined black-and-white mask for the nose and lips. It is useful for selective facial cleanup, retouching, and detail enhancement where lower-face control matters more than full-face masking.
MediaPipe Nose Mesh is a feature-targeted image masking model that extracts the nose region from MediaPipe face landmarks and outputs black-and-white masks. It is useful for localized retouching, stylized edits, and selective inpainting where the nose area needs isolated control.
MediaPipe Face Short is an image masking model optimized for short-range realistic face detection. It returns black-and-white masks around nearby faces and is a practical fit for portrait images, selfies, and other close-frame facial masking workflows.