🌐
GitHub
github.com › Gogul09 › image-classification-python
GitHub - Gogul09/image-classification-python: Using global feature descriptors and machine learning to perform image classification · GitHub
This repo contains the code to perform a simple image classification task using Python and Machine Learning.
Starred by 92 users
Forked by 84 users
Languages   Python
🌐
GitHub
github.com › topics › image-classification
image-classification · GitHub Topics · GitHub
optimizer pytorch imagenet image-classification resnet pretrained-models mixnet pretrained-weights distributed-training mobilenet-v2 mobile-deep-learning mobilenetv3 efficientnet augmix randaugment nfnets normalization-free-training vision-transformer-models convnext maxvit
🌐
GitHub
github.com › topics › image-classifier
image-classifier · GitHub Topics · GitHub
Zero Shot Image Classification but more, Supports Multilingual labelling and a variety of CNN based models for a vision backbone by using OpenAI CLIP for $ conscious uses (Super simple, so a 10th-grader could totally write this but since no 10th-grader did, I did) - Prithivi Da · image-class...
🌐
GitHub
github.com › weiaicunzai › awesome-image-classification
GitHub - weiaicunzai/awesome-image-classification: A curated list of deep learning image classification papers and codes
A curated list of deep learning image classification papers and codes - weiaicunzai/awesome-image-classification
Starred by 3K users
Forked by 612 users
🌐
GitHub
github.com › aritzLizoain › Image-Classification
GitHub - aritzLizoain/Image-Classification: Image classification with machine learning
Image classification with machine learning. Contribute to aritzLizoain/Image-Classification development by creating an account on GitHub.
Starred by 10 users
Forked by 5 users
Languages   Python 100.0% | Python 100.0%
🌐
GitHub
github.com › MIC-DKFZ › image_classification
GitHub - MIC-DKFZ/image_classification: :dart: Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments · GitHub
:dart: Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments - MIC-DKFZ/image_classification
Starred by 58 users
Forked by 2 users
Languages   Python
🌐
GitHub
github.com › anubhavparas › image-classification-using-cnn
GitHub - anubhavparas/image-classification-using-cnn: This project aims to classify the images in the given dataset as cats or dogs using convolutional neural network(CNN) · GitHub
This project aims to classify the images in the given dataset as cats or dogs using convolutional neural network(CNN) - anubhavparas/image-classification-using-cnn
Starred by 45 users
Forked by 28 users
Languages   Jupyter Notebook 97.9% | Python 2.1%
🌐
GitHub
github.com › jeffprosise › Deep-Learning › blob › master › Image Classification (CNN).ipynb
Deep-Learning/Image Classification (CNN).ipynb at master · jeffprosise/Deep-Learning
"The first step is to load the images that will be used for training and testing and to label the images with 0 for Arctic foxes, 1 for polar bears, and 2 for walruses. We'll start by defining a function for loading images from the file system ...
Author   jeffprosise
🌐
GitHub
github.com › fendy07 › rockpaperscissors-imageclassification
GitHub - fendy07/rockpaperscissors-imageclassification: This project about Image Classification using Deep Learning from submission final task Dicoding Indonesia. · GitHub
This project about Image Classification using Deep Learning from submission final task Dicoding Indonesia. - fendy07/rockpaperscissors-imageclassification
Author   fendy07
Find elsewhere
🌐
GitHub
github.com › rohanpillai20 › Image-Classification-by-Keras-and-Tensorflow
GitHub - rohanpillai20/Image-Classification-by-Keras-and-Tensorflow: Image Classification using Keras as well as Tensorflow.
This repository contains implementation for multiclass image classification using Keras as well as Tensorflow.
Starred by 81 users
Forked by 60 users
Languages   Python 100.0% | Python 100.0%
🌐
GitHub
github.com › rebeccak1 › image-classification
GitHub - rebeccak1/image-classification: Classify images from the CIFAR-10 dataset
In this project, you'll classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. The dataset will need to be preprocessed, then train a convolutional neural network on all the samples. You'll normalize the images, one-hot encode the labels, build a convolutional layer, max pool layer, and fully connected layer.
Author   rebeccak1
🌐
GitHub
github.com › gsurma › image_classifier
GitHub - gsurma/image_classifier: CNN image classifier implemented in Keras Notebook 🖼️.
CNN image classifier implemented in Keras Notebook 🖼️. - gsurma/image_classifier
Starred by 185 users
Forked by 98 users
Languages   Jupyter Notebook 99.9% | Python 0.1% | Jupyter Notebook 99.9% | Python 0.1%
🌐
GitHub
github.com › bentrevett › pytorch-image-classification
GitHub - bentrevett/pytorch-image-classification: Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision. · GitHub
This repo contains tutorials covering image classification using PyTorch 1.7, torchvision 0.8, matplotlib 3.3 and scikit-learn 0.24, with Python 3.8.
Starred by 1.1K users
Forked by 257 users
Languages   Jupyter Notebook
🌐
GitHub
github.com › YapWH1208 › Image-Classification
GitHub - YapWH1208/Image-Classification: Image Classification with Vision Transformer · GitHub
Image Classification with Vision Transformer. Contribute to YapWH1208/Image-Classification development by creating an account on GitHub.
Author   YapWH1208
🌐
GitHub
github.com › shivamprasad1001 › Image-Classification
GitHub - shivamprasad1001/Image-Classification: This project explores the fundamentals of image classification using a small dataset of 44 images across 3 classes. Due to the limited dataset size, the current model achieves an accuracy of approximately 29%, providing an excellent opportunity to identify areas for improvement, such as dataset expansion, data augmentation, and model optimization. · GitHub
This project explores the fundamentals of image classification using a small dataset of 44 images across 3 classes. Due to the limited dataset size, the current model achieves an accuracy of approximately 29%, providing an excellent opportunity to identify areas for improvement, such as dataset expansion, data augmentation, and model optimization.
Author   shivamprasad1001
🌐
GitHub
github.com › topics › image-classification-algorithms
image-classification-algorithms · GitHub Topics · GitHub
python neural-network tensorflow dataset neural-networks classification image-classification image-recognition satellite-imagery vgg16 vgg19 cnn-model pre-trained satellite-images vgg-16 cnn-for-visual-recognition cnn-classification image-classification-algorithms vgg16-model vgg-19
🌐
GitHub
github.com › SanKolisetty › AI-Image-Classifier
GitHub - SanKolisetty/AI-Image-Classifier: A machine learning model that can classify real and AI generated images · GitHub
A machine learning model that can classify real and AI generated images - SanKolisetty/AI-Image-Classifier
Starred by 11 users
Forked by 6 users
Languages   Jupyter Notebook 99.9% | Python 0.1%