Release components
- Landmarks training datasets with pose data augmentation using Yolo, Mediapipe and Movenet pose models
- Trained pose classifiers models with differents landmarks datasets (Yolo, Mediapipe and Movenet) using sklearn Random Forest estimator.
Release final observations
Raw training image dataset:
- Fall: 844 images
- No Fall: 645 images
Yolo training CSV's observations:
- Fall augmented: 4180 / 4220
- No Fall augmented: 3222 / 3225
Movenet training CSV's observations:
- Fall augmented: 4220 / 4220
- No Fall augmented: 3225 / 3225
Mediapipe training CSV's observations:
- Fall augmented: 3777 / 4220
- No Fall augmented: 2930 / 3225