GitHub topics: satellite-image-classification
artemisart/EuroSAT-image-classification
Satellite images classification
Language: Python - Size: 39.1 KB - Last synced at: 20 days ago - Pushed at: over 5 years ago - Stars: 15 - Forks: 3

Z-Fran/Satellite-Image-Classification
Train AI models on satellite image dataset to classify different types of land.
Language: Python - Size: 4.83 MB - Last synced at: 19 days ago - Pushed at: 9 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: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Purushothaman-natarajan/eXplainable-AI-for-Image-Classification-on-Remote-Sensing
This repository provides the training codes to classify aerial images using a custom-built model (transfer learning with InceptionResNetV2 as the backbone) and explainers to explain the predictions with LIME and GradCAM on an interface that lets you upload or paste images for classification and see visual explanations.
Language: Jupyter Notebook - Size: 48.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

AbhishekRS4/overhead_mnist
DL model deployment using docker, API deployment with FastAPI, and MLOps using WandB for overhead-mnist dataset
Language: Python - Size: 2.91 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

DP8801/COMP6721-GroupF
Language: Jupyter Notebook - Size: 47.3 MB - Last synced at: 6 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

tawsifrm/Satellite-Image-Classification
This repository contains code for building a deep learning model to classify satellite images into different categories such as Cloudy, Desert, Green Area, and Water.
Language: Python - Size: 22.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ShendoxParadox/Few-shot-satellite-image-classification-OPS-SAT
Few-shot satellite image classification for bringing deep learning on board OPS-SAT
Language: Python - Size: 3.39 GB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

manideep2510/eye-in-the-sky
Satellite Image Classification using semantic segmentation methods in deep learning
Language: Python - Size: 160 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 288 - Forks: 83

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!
Language: Jupyter Notebook - Size: 63.5 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

efejzo20/CNN-Satellite-Image-Classification
The application of various CNNs on an Aid dataset for satellite image classification.
Language: Jupyter Notebook - Size: 1 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

kkgadiraju/SAT-Classification-Using-CNN
Classifying SAT-6 data using a CNN
Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 6

DavidColasRomanos/Minsait_Land_Classification
Satellite Image Classification
Language: Jupyter Notebook - Size: 26.6 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
