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# Waynet - A Road Segmentation project
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## Author
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- Contains over _____ Trainable paramameters.
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- Training Duration: 1 hour.
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2. ### Training Data
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- Source: ([]())
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- Format: The dataset includes RGB images of roads around the globe and thrie 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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license: apache-2.0
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datasets:
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- bnsapa/road-detection
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base_model:
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- microsoft/resnet-50
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pipeline_tag: image-segmentation
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---
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# Waynet - A Road Segmentation project
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## Author
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- Contains over _____ Trainable paramameters.
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- Training Duration: 1 hour.
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2. ### Training Data
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- Source: ([bnsapa/road-detection](https://huggingface.co/datasets/bnsapa/road-detection))
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- Format: The dataset includes RGB images of roads around the globe and thrie 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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