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Attack of the Titans: Transformers 2.0?
We interrupt your regularly scheduled programming to discuss a...
Facial identification and verification for consumer and security applications.
Activity recognition and threat detection across camera views.
Spatial computing, gesture recognition, and gaze estimation for headsets.
Millions of identities and clothing options to train best-in-class models.
Simulate driver and occupant behavior captured with multi-modal cameras.
Simulate edge cases and rare events to ensure the robust performance of autonomous vehicles.
We interrupt your regularly scheduled programming to discuss a...
Together, we’re building the future of computer vision & machine learning
Facial identification and verification for consumer and security applications.
Activity recognition and threat detection across camera views.
Spatial computing, gesture recognition, and gaze estimation for headsets.
Millions of identities and clothing options to train best-in-class models.
Simulate driver and occupant behavior captured with multi-modal cameras.
Simulate edge cases and rare events to ensure the robust performance of autonomous vehicles.
We interrupt your regularly scheduled programming to discuss a...
Together, we’re building the future of computer vision & machine learning
Facial identification and verification for consumer and security applications.
Activity recognition and threat detection across camera views.
Spatial computing, gesture recognition, and gaze estimation for headsets.
Millions of identities and clothing options to train best-in-class models.
Simulate driver and occupant behavior captured with multi-modal cameras.
Simulate edge cases and rare events to ensure the robust performance of autonomous vehicles.
We interrupt your regularly scheduled programming to discuss a...
Together, we’re building the future of computer vision & machine learning
Facial identification and verification for consumer and security applications.
Activity recognition and threat detection across camera views.
Spatial computing, gesture recognition, and gaze estimation for headsets.
Millions of identities and clothing options to train best-in-class models.
Simulate driver and occupant behavior captured with multi-modal cameras.
Simulate edge cases and rare events to ensure the robust performance of autonomous vehicles.
We interrupt your regularly scheduled programming to discuss a...
Together, we’re building the future of computer vision & machine learning
Alpha images perfectly separate the character from the background.
Applications:
The “surface normal” is a vector that points directly away from the surface, at a
right angle to it, at that point.
Applications:
Z-Depth in meters from the camera at every point.
Applications:
We provide 43 classes of subsegmentation on the face, and 50 classes of the body,
consistent with industry best practices.
Applications:
These basic facial landmarks replicate iBug 68 locations.
Applications:
MediaPipe Face Mesh is a facial landmark detection model developed by Google. It
can detect 468 3D facial landmarks on a human face in real-time.
Applications:
Synthesis AI’s 5,000 dense landmarks are particularly useful for training models
that require a highly detailed understanding of the human face; e.g., in ID verification and
security applications.
Applications:
The centroid of the eye volume, to the location of the pupil in world
coordinates, valuable for attention monitoring in ADAS.
Applications:
Our basic facial landmarks are similar, but not identical, toiBug 68 locations.
Applications:
The centroid of the eye volume to the location of the pupil in world coordinates, valuable for attention monitoring.
Applications:
We provide a large library of typical activities showcasing distracted driving.
Applications:
Synthesis AI’s 5,000 dense landmarks are particularly useful for training models that require a highly detailed understanding of the human face; e.g., in ID verification and security applications.
Applications:
MediaPipe Face Mesh is a solution that estimates 468 3D face landmarks.
Applications:
We provide our dense landmark model in the .obj format, with over 4,000 3D landmarks.
Applications:
Alpha perfectly separates the character from the background.
Applications:
The “surface normal” is a vector that points directly away from the surface, at a right angle to it, at that point.
Applications: