Pose estimation / Human pose / Expression
- Pose Estimation is a computer vision technique to predict and track the location of a person or object.
- This is typically done by identifying, locating, and tracking a number of keypoints on a given object or person.
- The combination of position and orientation is referred to as the pose of an object, even though this concept is sometimes used only to describe the orientation.
- Classes : 5 classes of yoga poses
- Total images : above 100 images in each class(pose coordinates(key points) are in csv file)
- The LSP dataset contains 10,000 images gathered from Flickr searches for the tags “parkour”, “gymnastics”, and “athletics”.
AFEW (Acted Facial Expressions In The Wild)/SFEW (Static Facial Expressions In The Wild)
- Dynamic temporal facial expressions data corpus consisting of close to real world environment extracted from movies.
Expression in-the-Wild (ExpW) Dataset
- Contains 91,793 faces manually labeled with expressions. Each of the face images was manually annotated as one of the seven basic expression categories: “angry”, “disgust”, “fear”, “happy”, “sad”, “surprise”, or “neutral”.
- CALVIN research group datasets
HandNet (annotated depth images of articulating hands)
- This dataset includes 214971 annotated depth images of hands captured by a RealSense RGBD sensor of hand poses. Annotations: per pixel classes, 6D fingertip pose, heatmap. Images -> Train: 202198, Test: 10000, Validation: 2773. Recorded at GIP Lab, Technion.
- Depth videos + ground truth human poses from 2 viewpoints to improve 3D human pose estimation.
- More than 40.000 scans of people very accurately registered. Scans contain texture so synthetic videos/images are easy to generate. See also Dyna: A Model of Dynamic Human Shape in Motio.
- About 10.000 scans of people in clothing and the estimated body shape of people underneath. Scans contain texture so synthetic videos/images are easy to generate.
- Several sequences of video synchronised by 10 Inertial Sensors (IMU) worn at the extremities.
- Chictopia dataset with additional processed annotations (face) and SMPL body model fits to the images. The copyright of the images belongs to the original authors of Chictopia.
- Over 320,000 highly-rated portrait images crawled from 500px website.