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sinanw / cnn-image-classification

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The objective of this project is to carry out supervised image classification on a collection of colored images. It employs a convolutional neural network design and applies data augmentation and transformations to recognize the category of images from a predefined set of 10 classes.

machine-learning pytorch artificial-intelligence neural-networks image-classification convolutional-neural-networks tensortflow
  • Updated Jun 16, 2024
  • Jupyter Notebook

logicdeveloperTR / Manually-Created-Face-Recognition-Model

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I have created an algorithm similar to FaceNet (not as completely same as FaceNet because of the GPU limitations) , optimized it and used it. This algorithm is tested for only one person but if you want, you can use more than one positive and anchor values to train the network. Dataset: https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html

computer-vision deep-learning keras face-recognition face-detection convolutional-neural-networks facenet convolutional-neural-network tensortflow
  • Updated Mar 1, 2023
  • Jupyter Notebook

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