Topic: "eurosat"
iamtekson/DL-for-LULC-prediction
This is the ResNet50 implementation of the Eurosat dataset.
Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 19 - Forks: 12
artemisart/EuroSAT-image-classification
Satellite images classification
Language: Python - Size: 39.1 KB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 15 - Forks: 3
AndrzejKucik/SNN4Space
ANN to SNN conversion on land cover and land use classification problem for increased energy efficiency.
Language: Python - Size: 1.92 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 1
kai-tub/rico-hdl
A fast and easy-to-use Remote sensing Image format COnverter for High-throughput Deep-Learning (rico-hdl).
Language: Python - Size: 76.7 MB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 9 - Forks: 2
chris010970/eurosat
Train Convolutional Neural Network to predict land cover type from multispectral Sentinel-2 satellite imagery
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KRVPerera/FSL-MiniImageNet
Cross domain few-shot transfer learning from MiniImageNet to EuroSAT_RGB and CUB
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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.
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chathumal93/resnet-50-eurosat
ResNet-50 model implementation for EuroSat RGB image classification with transfer learning
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m3nin0-labs/eurosat
🛰️ Easy Access to the EuroSAT Dataset in R
Language: R - Size: 8.79 KB - Last synced at: about 13 hours ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
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!
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a-doering/satellite-makeathon
Satellite environmental track of the TUM.ai Makeathon. Team bonk.
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lucashoeft/Intelligent-Data-Analysis-2-Project
Multiclass image classification of the EuroSAT satellite image dataset with convolutional neural network (CNN) and a pre-trained residual network (ResNet50) using transfer learning
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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.
Language: HTML - Size: 59.7 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 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.
Language: Jupyter Notebook - Size: 260 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
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.
Language: Python - Size: 84.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
QasimKhan5x/dino-eurosat
experiments with DINO method for training vision transformer on EuroSAT dataset
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Rumeysakeskin/EuroSat-Satellite-CNN-and-ResNet
Classifying custom image datasets by creating Convolutional Neural Networks and Residual Networks from scratch with PyTorch
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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
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enatgvhh/ml_image
Klassifikation von Satellitenbildern mit TensorFlow
Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
