This is the ResNet50 implementation of the Eurosat dataset.
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Updated
Aug 31, 2021 - Jupyter Notebook
This is the ResNet50 implementation of the Eurosat dataset.
Satellite images classification
Classifying custom image datasets by creating Convolutional Neural Networks and Residual Networks from scratch with PyTorch
ANN to SNN conversion on land cover and land use classification problem for increased energy efficiency.
Train Convolutional Neural Network to predict land cover type from multispectral Sentinel-2 satellite imagery
This repository will guide you how to use deep learning algorithms for land use land cover classification using satellite dataset!
Cross domain few-shot transfer learning from MiniImageNet to EuroSAT_RGB and CUB
Satellite environmental track of the TUM.ai Makeathon. Team bonk.
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.
Klassifikation von Satellitenbildern mit TensorFlow
This is a Repository used for getting insights about EuroSat dataset and also for training a model in order to classify those 10 classes
experiments with DINO method for training vision transformer on EuroSAT dataset
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