cnn-image-classification

There are 4 repositories under cnn-image-classification topic.

CatchZeng / bing_images
Python library to fetch image urls based on keywords and download from Bing.com.
bing bing-image bing-image-search-api bing-image-scrapping image-downloader image-scraper image-collector python-image-download python-imagesearch multithreading multithread multithread-download ai-image data-collector cnn-image-classification
Language:Python 28
irishev / DSP
PyTorch implementation of "Dynamic Structure Pruning for Compressing CNNs" (AAAI 2023 Oral)
acceleration cifar-10 cnn-image-classification compression pruning pytorch resnet
Language:Python 20
vladalexey / webapp-trash-classification
CNN Image classification of trash of 6 categories in tensorflow and pytorch
image-classification pytorch-cnn cnn-image-classification pytorch trash-classification flask-backend webapp
Language:Python 8
unvercan / cifar10-image-classification-theano
Image Classification on CIFAR-10 using Theano
cifar-10 image-classification theano lasagne deep-learning convolutional-neural-networks computer-vision neural-networks python cnn-image-classification cnn classification
Language:Python 6
Friedrich94326 / AI_and_Data_Science
learning data science including languages Python and SQL, data visualisation and machine learning
python sqlite machine-learning deep-learning cnn-image-classification webscraping data-visualization
Language:Jupyter Notebook 5
sudarshan-koirala / CNN-for-image-Classification
Using CNN for classifying dogs and cats images
cnn-image-classification deep-learning tensorflow
Language:Jupyter Notebook 2
adri1197 / DP_Image-Binary-Classification
Deep Learning - Portability and optimization of a neural network for rapid damage detection in earthquakes using OpenVINO toolkit
deep-learning openvino cnn-image-classification neural-networks python tensorflow keras-tensorflow
Language:Jupyter Notebook 1
Image_Classification_Kaggle_FGVC21
AshishBodhankar / Image_Classification_Kaggle_FGVC21
Finetuned pretrained-CNN architectures on Kaggle's FGVC21 plant pathology dataset (Implemented in Keras)
efficientnetb1 inception-resnet-v2 cnn-keras cnn-classification cnn-image-classification multi-class-classification kaggle-competition kaggle-dataset
Language:Jupyter Notebook 1
daconjam / Facial-Expression-Recognition
The purpose of this project was to simply test a CNN model on a competition FER2013 dataset.
cnn-image-classification cnn-keras cnn-model deep-learning fer2013
Language:Jupyter Notebook 1
camilababo / Covid19-X-Ray-Detection-CNN-Model
Explores the use of a simple CNN model for the detection of COVID-19 in X-ray images. Leveraging a dataset from Kaggle, the pipeline includes preprocessing, model architecture design, performance evaluation, and testing on new cases.
cnn-image-classification covid-19 x-ray-images
Language:Jupyter Notebook 0
Ebrutokgoz / Image-Classification-with-CNN
This project consists of following steps: - dataset creation with web scraping (BeautifulSoup) - data pre-processing (DifPy, Rembg, Keras) - CNN deep learning model training (used MobileNet V2 model) and training (Tensorflow) - testing the model and analyzing the results.
artificial-neural-networks beautifulsoup cnn-image-classification keras machine-learning mobilenetv2 python tensorflow web-scraping
Language:Jupyter Notebook 0
malleswarigelli / Chest_Disease_Image_Classification_
Build end-to-end DL pipeline for computer vision (Image classification) for “Chest Disease Classification from Chest CT Scan Images” and deploy Flask web app to AWS EC2 with Docker and CI/CD tool: Jenkins
ci-cd cnn-image-classification custom-exceptions deep-learning docker dvc-pipeline gdown gdrive github-workflows jenkins keras-tensorflow logging mlflow-tracking pandas sklean vgg16-model mlflow-model aws-ec2 aws-ecr
Language:Jupyter Notebook 0
MohamadAboud / CNN-ICP
The project includes a detailed explanation of the CNN and ICP algorithms, along with their implementation in Python using popular deep learning and computer vision libraries such as TensorFlow, Keras, and OpenCV. The dataset used for training and testing the models is the CIFAR-10 dataset, which consists of 60,000 32x32 color images in 10 classes.
cnn-image-classification computer-vision deep-learning icp cifar-10-datase ui user-interface
Language:Jupyter Notebook 0
mkdn007 / Android-University-Landmark-Classifier
Android app that identifies UT and UTD landmarks
cnn-image-classification tensorflow android-development
Language:Jupyter Notebook

cnn-image-classification

CatchZeng / bing_images

irishev / DSP

vladalexey / webapp-trash-classification

unvercan / cifar10-image-classification-theano

Friedrich94326 / AI_and_Data_Science

sudarshan-koirala / CNN-for-image-Classification

adri1197 / DP_Image-Binary-Classification

AshishBodhankar / Image_Classification_Kaggle_FGVC21

daconjam / Facial-Expression-Recognition

camilababo / Covid19-X-Ray-Detection-CNN-Model

Ebrutokgoz / Image-Classification-with-CNN

malleswarigelli / Chest_Disease_Image_Classification_

MohamadAboud / CNN-ICP

mkdn007 / Android-University-Landmark-Classifier