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This is a very Simple example of showing how to build image dataset from your own collection of images, how to train multiple class classifier using tensorflow CNN and how to predict the class of an object in an unseen image. This code is designed so that a newbie user become able to train a tensorflow CNN model using his limited CPU resources. …
Microservice AI Neural Network Tensorflowjs face (YOLO object) detection Two-factor deep learning (TensorFlow) authentication in Spring, Vue, and Flask with face verification based on logistic regression and cosine similarity in high dimensional vector space.
Used VGGFace and Resnet50 model we extract features from the photos of the celebrities. It predicts the similar matching Bollywood celeb based on cosine similarity of the pictures.
Doing attendance of whole classroom with few shots using Python's Flask framework. Feature extraction of detected faces by mtcnn done by fine tuning VVGFace on siamese network.
This project is aimed at developing a deep learning system that can detect and recognize people who look identical to Bollywood actors. It will use facial features as the basis of comparison for detecting similar features between two people. This system could be used in various applications such as security systems, entertainment platforms, etc.