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khizer-kt/Remote-Sensing-using-Partial-Cross-Entropy

Remote Sensing on DeepGlobe Land Cover Dataset using a Custom Loss function known as Partial Cross Entropy
  • Jupyter Notebook
  • 0
  • Updated
    on Jul 24, 2024
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marius454/ANN_Road_Extraction

Satellite image recognition task of extracting roads from satellite images. Kaggle task - https://www.kaggle.com/balraj98/deepglobe-road-…
  • Python
  • 0
  • Updated
    on Dec 20, 2021
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elien2016/satellite-imagery-semantic-segmentation

a PyTorch Lightning + Segmentation Models Pytorch (SMP) ipynb for semantic segmentation tasks; example dataset uses satellite images from…
  • Jupyter Notebook
  • 0
  • Updated
    on Jan 17, 2024
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AdityaK-27/Road-Extraction-DL

Comparative analysis of deep learning models (U-Net, ResUNet, VGG16 U-Net, Self-Attention U-Net, Custom CNN) for road extraction from sat…
  • Jupyter Notebook
  • 0
  • Updated
    on Jul 21
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adarina/unet-satellite-images

U-net models for road extraction and land classification tasks using satellite imagery. Leveraging the DeepGlobe datasets, it enables tra…
  • Jupyter Notebook
  • 1
  • Updated
    on Feb 8, 2024
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Shifu34/Generative-AI-for-Producing-Detailed-Maps-from-Aerial-Imagery

This project uses Pix2Pix cGAN to convert satellite images into high-resolution maps for urban planning, disaster management, and environ…
  • Jupyter Notebook
  • 1
  • Updated
    on Dec 12, 2024
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gnharris/AOHRSI_Final_Project

This project implements a U-Net-based deep learning pipeline for binary semantic segmentation of satellite images USING DeepGlobe road da…
  • Jupyter Notebook
  • 0
  • Updated
    on Jul 23
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azizullahnaik/road-segmentation-using-u-net-architecture

This project uses a U-Net model to segment roads in satellite images from the DeepGlobe dataset. Data is loaded directly from Kaggle, pre…
  • Jupyter Notebook
  • 0
  • Updated
    on Jul 31
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