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README.md
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This model demonstrates a road segmentation implemented using deep learning techniques which predics the road regions in the input image and returns it in a grayscale image.
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##
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1. ### Architecture
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- Basic Resnet50 model with few upsampling and batch normalisation layers.
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- Contains over _____ Trainable paramameters.
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This model demonstrates a road segmentation implemented using deep learning techniques which predics the road regions in the input image and returns it in a grayscale image.
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## Model Structure
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- **rs1-low.pth**: The lowest performer model with a loss of 0.69%.
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- **rs1-high.pth**: The highest performer model with a loss of 0.07%.
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## Features
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1. ### Architecture
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- Basic Resnet50 model with few upsampling and batch normalisation layers.
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- Contains over _____ Trainable paramameters.
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