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Update README.md

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@@ -15,9 +15,11 @@ pipeline_tag: image-segmentation
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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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- ## Features
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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.