https://github.com/srimannarayanabaratam/land_cover_classification_unet

This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.
https://github.com/srimannarayanabaratam/land_cover_classification_unet

deepglobe-dataset multiclass-classification pytorch semantic-segmentation unet

Last synced: about 2 months ago
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This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.

• Host: GitHub
• URL: https://github.com/srimannarayanabaratam/land_cover_classification_unet
• Owner: srimannarayanabaratam
• Created: 2021-06-15T20:25:33.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-10-07T14:57:19.000Z (almost 2 years ago)
• Last Synced: 2024-07-28T16:25:55.255Z (about 2 months ago)
• Topics: deepglobe-dataset, multiclass-classification, pytorch, semantic-segmentation, unet
• Language: Jupyter Notebook
• Homepage: https://baratam-tarunkumar.medium.com/land-cover-classification-with-u-net-aa618ea64a1b
• Size: 99.1 MB
• Stars: 39
• Watchers: 1
• Forks: 20
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

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