Search Results for: Distortion factor meters
world. data augmentation for face detection data set: horizontal flip: flip or mirror a face image so that left side becomes the right side. random cropping: square patches (if face is on crop boundary keep the overlapped part of the face box if its centre is within the crop patch) photometric distortion
expression, lighting, and exposure. it should be broad(many unique people/faces) and deep(many photos for same person) data augmentation for face recognition: geometric transformation: translation, rotation, reflection, flipping, zoomming, scaling, cropping, padding, perspective transformation, elastic distortion...
https://hackernoon.com/data-set-and-data-augmentation-for-face-detection-and-recognition-6eu3n0a