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![RoadSegmentation Model Architecture.drawi.png](https://cdn-uploads.huggingface.co/production/uploads/6787e9bb4151553bf9307186/XY7pXOsAexioiF_Sihn-e.png)

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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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- [RoadSegmentation Model Architecture.drawi.png](https://cdn-uploads.huggingface.co/production/uploads/6787e9bb4151553bf9307186/UaStXw-Q3ALuQYrfpI_Hs.png)
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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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  ## 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.