Toolkit for xView2 Challenge: Assessing Building Damage caused by Natural Disasters
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Jun 28, 2022 - Jupyter Notebook
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xview2
Here are 11 public repositories matching this topic...
SpaceNet5 and xView2 code.
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Mar 22, 2021 - Python
A PyTorch Deep Learning pipeline utilizing a U-Net (ResNet34 backbone) to perform semantic segmentation of post-disaster satellite imagery for building damage mapping.
python computer-vision deep-learning pytorch remote-sensing satellite-imagery semantic-segmentation disaster-response u-net resnet34 xview2
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May 12, 2026 - Jupyter Notebook
Siamese U-Net with ResNet34 encoder for pre/post-event damage classification and segmentation on xView2.
pytorch encoder-decoder siamese-network resnet-34 focal-loss classification-segmentation unet-image-segmentation dice-loss xview2
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Aug 22, 2025 - Jupyter Notebook
Semantic segmentation with convolutional neural networks (CNNs) and zoomout features in PyTorch.
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Apr 24, 2024 - Python
Auto Assess Building Damage Based on Siamese Neural Network
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Dec 13, 2022 - Python
🖥 A deployed streamlit application for Alivio
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Apr 15, 2024 - Jupyter Notebook
Change detection in pre- and post-disaster satellite imagery using custom CNNs and pretrained models for damage assessment and cross-disaster transfer analysis.
imagenet satellite-imagery transfer-learning pretrained-models satellite-data change-detection fine-tuning cnn-classification natural-disasters xview2 xbd-dataset
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Aug 31, 2026 - Jupyter Notebook
DisasterVision: SSD-Based Detection of Building Damage in Disasters
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Apr 3, 2025 - Jupyter Notebook
Streamlit disaster damage detection prototype using Roboflow and satellite imagery.
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Jun 21, 2026 - Python
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