Classification using advanced Convolution Neural Networks and the Intel Image dataset, featuring 6 classes of color pictures in 150x150 pixels resolution.
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Updated
May 28, 2023 - Jupyter Notebook
Classification using advanced Convolution Neural Networks and the Intel Image dataset, featuring 6 classes of color pictures in 150x150 pixels resolution.
Data augmentation is a technique of artificially increasing the training set by creating modified copies of a dataset using existing data. Here is a notebook of different augmentation techniques.
A Northern EU mushroom image classifier trained on a FGVCx dataset with fastai and ResNet34.
This project uses deep learning to classify flower images as "roses" or "daisies," employing data augmentation, ResNet-18 architecture, and hyperparameter tuning.
Developing a CNN-based brain tumor classification system using MRI for improved diagnostics
Vegetables object localization app using tensorflow.
Classify 10 problems using the image from Traffy fondue report.
CIFAR10 Dataset.
A food classifier model that will help you to enjoy various kinds of foods for the first time in life.
This project evaluates and compares the prediction performances of various state of art pre-trained image classification models in classifying 5 types of flowers.
This repository contains the files and information related to the second project done by Lauren Smith, Ann Sofo and Reese Quillian in the DS 4002 Project Course.
Classify different sports images to know the sport using Transfer Learning
Deep Learning Project
Using python write a pretrained image classifier to classify dog breeds
Develop ML models for image classification, then convert those models into the TF-Lite file format, which can be embedded on Android and iOS.
It is a simple project where vehicle classification in malaysia for research purpose. This project will be use in deep learning apporach include efficientnet and inception
Classification of Cells with Image Processing Technics
🦁🐅WAC is an AI tool for Wild Animal Classification from a Mobile camera or Mobile Image Library. WAC exposes GraphQL and REST api for performing image classifications on 6 different wild animals.
The augmented image processing for a cgi generated dataset of humans and horses using to train a CNN model.
A basic CNN image classification model which can classify images of dogs and cats
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