eurosat

There are 0 repository under eurosat topic.

Rumeysakeskin / EuroSat-Satellite-CNN-and-ResNet
Classifying custom image datasets by creating Convolutional Neural Networks and Residual Networks from scratch with PyTorch
cnn eurosat eurosat-satellite image-classification pytorch resnet train
Language:Jupyter Notebook 17
iamtekson / DL-for-LULC-prediction
This is the ResNet50 implementation of the Eurosat dataset.
deep-learning dl eurosat neural-network resnet50 satellite-data
Language:Jupyter Notebook 16
artemisart / EuroSAT-image-classification
Satellite images classification
eurosat image-classification pytorch satellite-image-classification
Language:Python 13
AndrzejKucik / SNN4Space
ANN to SNN conversion on land cover and land use classification problem for increased energy efficiency.
ann artificial-neural-networks energy-consumption energy-efficiency eurosat land-cover-classification land-use-classification land-use-land-cover neuromorphic neuromorphic-computing snn spiking-neural-networks ucm ucmerced
Language:Python 11
chris010970 / eurosat
Train Convolutional Neural Network to predict land cover type from multispectral Sentinel-2 satellite imagery
satellite-imagery machine-learning classification multispectral-images vgg16 eurosat convolutional-neural-networks
Language:Jupyter Notebook 9
BEEILAB / LULC-Classification-Using-Deep-learning
This repository will guide you how to use deep learning algorithms for land use land cover classification using satellite dataset!
cnn deep-learning lulc remote-sensing satellite-image-classification sentinel-2 land-use-land-cover-classification eurosat tensorflow
Language:Jupyter Notebook 7
KRVPerera / FSL-MiniImageNet
Cross domain few-shot transfer learning from MiniImageNet to EuroSAT_RGB and CUB
cross-domain cross-domain-learning eurosat few-shot few-shot-learning miniimage pytorch
Language:Jupyter Notebook 2
a-doering / satellite-makeathon
Satellite environmental track of the TUM.ai Makeathon. Team bonk.
ai4good ai4sg computer-vision eurosat geospatial hackathon makeathon satellite satellite-imagery
Language:Jupyter Notebook 1
chathumal93 / EuroSat-RGB-Classifiers
This repository contains three different models (ResNet-18, ResNet-50, and ViT-Base-Patch16-224) fine-tuned on the EuroSAT dataset, along with their performance comparisons.
eurosat image-classification landcover-classification resnet-18 resnet-50 vision-transformer
Language:Jupyter Notebook 1
m3nin0-labs / eurosat
🛰️ Easy Access to the EuroSAT Dataset in R
dataset eurosat r
Language:R 1
Intelligent-Data-Analysis-2-Project
lucashoeft / Intelligent-Data-Analysis-2-Project
Image classification of EuroSAT dataset with CNN and ResNet
sklearn eurosat keras tensorflow cnn resnet
Language:Jupyter Notebook 0
pauldamsa / Eurosat-Project
This is a Repository used for getting insights about EuroSat dataset and also for training a model in order to classify those 10 classes
eurosat landcover-classification maps
Language:Jupyter Notebook 0
AlvaroVasquezAI / Satellite_Image_Classification
Satellite image classification using a custom Convolutional Neural Network (CNN). The model is designed to classify images from the EuroSAT dataset into ten distinct classes.
artificial-intelligence classification cnn cnn-classification deep-learning eurosat machine-learning neural-network satellite-image-classification
Language:Jupyter Notebook
enatgvhh / ml_image
Klassifikation von Satellitenbildern mit TensorFlow
machine-learning tensorflow python image satellite-images neural-network cnn eurosat keras
Language:Jupyter Notebook
kushagraghosh / EuroSAT
Trained a ResNet50 model on the EuroSAT satellite imagery dataset w/ PyTorch. Analyzed the model's encoder by visualizing linear interpolations within the embedding space to illustrate the semantic separation in the learned feature representations.
embeddings encoder eurosat resnet-50
Language:Python
muhammednurgobena / DL-LULC-Classifier
DL-LULC-Classifier is a deep learning project for Land Use and Land Cover (LULC) classification using Convolutional Neural Networks (CNNs). It features can support multiple models, easy integration with Django and HTMX as frontend. This tool is ideal for environmental monitoring and geospatial analysis.
backend css data-science deep-learning django eurosat frontend htmx image-classification image-processing machine-learning neural-network pipeline python sentinel-2 webapp gis model
Language:HTML
QasimKhan5x / dino-eurosat
experiments with DINO method for training vision transformer on EuroSAT dataset
eurosat pytorch self-supervised-learning vision-transformer
Language:Jupyter Notebook

eurosat

Rumeysakeskin / EuroSat-Satellite-CNN-and-ResNet

iamtekson / DL-for-LULC-prediction

artemisart / EuroSAT-image-classification

AndrzejKucik / SNN4Space

chris010970 / eurosat

BEEILAB / LULC-Classification-Using-Deep-learning

KRVPerera / FSL-MiniImageNet

a-doering / satellite-makeathon

chathumal93 / EuroSat-RGB-Classifiers

m3nin0-labs / eurosat

lucashoeft / Intelligent-Data-Analysis-2-Project

pauldamsa / Eurosat-Project

AlvaroVasquezAI / Satellite_Image_Classification

enatgvhh / ml_image

kushagraghosh / EuroSAT

muhammednurgobena / DL-LULC-Classifier

QasimKhan5x / dino-eurosat