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@@ -42,9 +42,9 @@ This model demonstrates a road segmentation implemented using **deep learning**
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  - Format: The dataset includes RGB images of roads around the globe and their corresponding segment and lane.
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  - Preprocessing: With the help of torch and torchvission api basic preprocessing like resizing and convertion to tensor were implemented.
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  3. ### CostFunctions Score
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- - BCE:
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- - MSE:
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-
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  ## License
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  This project is licensed under the **Apache License 2.0**.
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  - Format: The dataset includes RGB images of roads around the globe and their corresponding segment and lane.
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  - Preprocessing: With the help of torch and torchvission api basic preprocessing like resizing and convertion to tensor were implemented.
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  3. ### CostFunctions Score
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+ - BCE: **0.07**
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+ - MSE: **nil**
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+ - [**NOTE**: All the above scores are trained using the highest performer model]
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  ## License
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  This project is licensed under the **Apache License 2.0**.
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