Tensorflow2/KerasのImageDataGenerator向けのmixupの実装。

This repository is related to the paper "Data augmentation and hierarchical classification to support the diagnosis of neuropathies based on time series analysis".

Automatic Data Augmentation for Deep Learning techniques

Tensorflow2(Keras)のImageDataGeneratorのJupyter上での実行例。

Tensorflow2/KerasのImageDataGenerator向けのcutmixの実装。

Major Project in Final Year B.Tech (IT). Live Stream Sign Language Detection using Deep Learning.

Build a custom convolutional neural network neural network from scratch in Tensorflow to identify the type of skin cancer from image.

This application is made to perform data augmentation with an easy to use interface. You are provided with various traditional data augmentation techniques like rotation, crop, zooming, etc.

A binary classifier that uses CovNets and Image Data Augmentation to classify images of cats and dogs.

Image classifiaction done on cifar 10 using deep learning (CNN)

Developed a deep learning model for the detection of melanoma.

Data augmentation is a technique used to create more examples, artificially, from an existing dataset. This is useful if the dataset is small and we want to increase the number of examples. Data augmentation can often solve over-fitting so that our model generalizes well after training. For images, a variety of augmentation can be applied to incr…

L'objectif de ce projet est de développer un outil d' aide à la décision pour les banques permettant de vérifier l’authenticité de la signature d'identifier les chèques falsifiés.

Simple numpy-based implementation of SpecAugment

Notebook for Data Augmentation

Using Convolutional Neural Networks to create image classifiers [ cats + dogs & cats + dogs + lions + tigers ]