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LFPW training set
Facial landmarks detection dataset -
HELEN training set
Facial landmarks detection dataset -
300 faces in-the-wild challenge
Facial landmarks detection dataset -
300-W dataset
300-W dataset for facial landmark localization. -
SEWA: A Large-Scale Video Dataset for Affective Computing
The SEWA dataset contains video clips annotated with facial landmarks, valence, and arousal. -
Fine-Grained Head Pose Estimation Without Keypoints
Estimating the head pose of a person is a crucial problem that has a large amount of applications such as aiding in gaze estimation, modeling attention, fitting 3D models to... -
Labeled Faces in the Wild
The dataset is a 4-way array of dimensions 4000 × 90 × 90 × 3, where each pixel gives the intensity for colors red, green and blue, resulting in a multiway array of dimensions X... -
GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks
Facial landmarks constitute the most compressed representation of faces and are known to preserve information such as pose, gender and facial structure present in the faces.
