Generate MNIST digit sequence images from MNIST dataset
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Updated
Nov 22, 2022 - Python
Generate MNIST digit sequence images from MNIST dataset
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This is a data augmentation tool for creating augmented data from a bunch of images under directory with GUI.
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A light weight CLI for augmenting image datasets for deep learning and ML projects
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Script to randomly apply Geometric Transformations/Noise on an image, generating an output slightly different (or not). This is usually used in Machine Learning for data augmentation.
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This repository contains all the Deep Learning projects that I have developed/worked in the areas of Natural Language Processing and Computer Vision by using the deep learning frameworks such as tensorflow, opencv, keras, spacy and pytorch.
Main idea of this project was making some new data using simple registration technique from existing CT data. This code be a possible alternative of arbitrary augmentation such as flip, rotation, zoom etc.
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