This is a CI/CD example of an evaluation report produced by giskard-vision which compares a set of facial landmark detection models based on the following criteria:
- Performance on partial and entire facial parts
- Performance on images containing faces with different head poses (estimated with
6DRepNet: https://github.com/thohemp/6DRepNet) - Performance on images containing people from different ethnicities (estimated with
DeepFace: https://github.com/serengil/deepface) - Robustness against image perturbations like blurring, resizing, recoloring (performed by
opencv: https://github.com/opencv/opencv)