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  ---
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  license: cc0-1.0
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  pipeline_tag: image-segmentation
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- mlm-metadata:
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- name: ChesapeakeRSC Road Segmentation U-Net
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- architecture: torchgeo.models.unet
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- artifact_type: torch.export.save
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- framework: torch
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- framework_version: 2.8.0
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- accelerator: cuda
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- total_parameters: 1234567
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- tasks: [semantic-segmentation]
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- input:
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- - name: Imagery
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- bands: [R, G, B, NIR]
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- input:
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- shape: [-1, 4, -1, -1]
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- dim_order: [batch, channel, height, width]
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- data_type: float32
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- pre_processing_function:
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- format: torch.export.load
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- expression:
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- id: export-transform
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- name: transforms
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- href: path/to/archive.pt2
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- type: "application/octet-stream; framework=pytorch; profile=ExportedProgram"
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- output:
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- - name: segmentation-output
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- tasks: [semantic-segmentation]
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- result:
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- shape: [-1, 2, -1, -1]
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- dim_order: [batch, classes, height, width]
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- data_type: float32
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- classification:classes:
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- - value: 0
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- name: background
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- - value: 1
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- name: road
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  ---
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  U-Net ResNet-18 backbone model trained on [ChesapeakeRSC dataset](https://github.com/isaaccorley/ChesapeakeRSC)
 
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  ---
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  license: cc0-1.0
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  pipeline_tag: image-segmentation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  U-Net ResNet-18 backbone model trained on [ChesapeakeRSC dataset](https://github.com/isaaccorley/ChesapeakeRSC)