Partition input image into multiple augmented images

Attempt to classify images of 10 fast foods by KNN, ANN and CNN.

This repository contains my project for computer vision.

Expanding limited datasets in CNN-LSTM to improve accuracy.

In this project I will be utilizing the Brain Tumor Classification dataset, which contains a variety of brain imaging scans that are labeled as either tumorous or non-tumorous. Our primary objective is to develop a deep learning model that can accurately recognize and categorize these images based on their classification labels.

An images augmentation program for yolo with labels auto adaptive

Digit Recognizer with 0.9989 score on Kaggle with CNN and augmentation

Server-Side Web Modelling for Augmentations

deep learning : segmentation d'images

The first BFT bridge across blockchains

Bengali/Bangla Fake Review Detection Dataset

A co-created website by METACAUGS

Neural Networks with TensorFlow 2 and Keras in Python (Jupyter notebooks included)

A website that displays audio and its spectrogram when an augmentation/operation is applied to the audio.

Transfer Learning with Augmentation on an EfficientNetV2L pretrained on the Imagenet dataset

Este projeto contém dois classificadores de imagens. O primeiro utilizando extração de características e o segundo utilizando fine-tunning.

You can batch augment your videos in the following categories: clockwise & anti-clockwise rotation,gaussian blur,brightness,vertical and horizontal flip,horizontal and vertical shift,zoom in and out

classification of WBC into 9 subtypes