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The aim of this project is to classify the faces. Olivetti Faces dataset has been used. In this dataset there are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no …
Training Siamese model to create a one-shot neural network model using Face-Net and MTCNN as the backbone. Yolov5 and OpenCV is used alongside to classify faces in the webcam feed