GitHub / Spectrewolf8 / aerial-image-road-segmentation-xp
A U-Net-50 model for segmenting road networks in aerial images. Trained on the Massachusetts Roads Dataset, the model accurately identifies and segments roads, making it ideal for applications in urban planning and autonomous driving
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PURL: pkg:github/Spectrewolf8/aerial-image-road-segmentation-xp
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 3.02 MB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: 12 months ago
Pushed at: 12 months ago
Last synced at: 12 months ago
Topics: cnn-model, computer-vision, keras-tensorflow, machine-learning, python, road-segmentation, transformers, unet-image-segmentation, unet-model