Building detection from the SpaceNet dataset by using Mask RCNN.
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Apr 1, 2021 - Jupyter Notebook
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building-detection
Here are 7 public repositories matching this topic...
Building detection from the SpaceNet dataset using UNet.
python
computer-vision
deep-learning
pytorch
remote-sensing
satellite-imagery
unet-image-segmentation
spacenet-dataset
pytorch-lightning
building-detection
monai
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Jun 8, 2023 - Python
Deep Learning Based Building Detection with Satellite Imagery
deep-learning
image-processing
cnn
image-classification
resnet
image-segmentation
unet
resnet-50
cnn-classification
resnet-34
unet-image-segmentation
building-detection
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Jul 26, 2020 - Jupyter Notebook
This initiative leverages cutting-edge machine learning technique such as Mask R-CNN to automate the identification of buildings in satellite images after disasters. Employing high-resolution Maxar imagery, our models efficiently and accurately pinpoint affected structures, enhancing the speed and effectiveness of emergency responses.
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May 13, 2024 - Python
Building detection model with YOLOv10 on UAVOD-10 dataset
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Aug 12, 2024 - Python
A deep learning project utilizing Mask R-CNN for building instance segmentation, openings detection, and building type classification.
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Updated
Jan 20, 2024 - Jupyter Notebook
This repository provides an implementation of semantic segmentation for road networks using PyTorch and the U-Net architecture. It focuses specifically on processing aerial images from the Massachusetts dataset.
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Jul 7, 2023 - Jupyter Notebook
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