Feature request: Add a semantic segmentation python mini project in Computer Vision

[mahipalimkar]

I propose adding a Semantic Segmentation Module utilizing the U-Net architecture. This feature will enable pixel-wise segmentation, enhancing our repository's capabilities for applications in various domains like fashion and medical imaging.

Key Components:

U-Net Implementation: Integrate the U-Net architecture for efficient segmentation. Data Handling: Leverage the existing VITON dataset class for seamless image and mask loading. Training Pipeline: Utilize the train_fn function for model training, incorporating mixed precision and loss logging. Evaluation Metrics: Include functions like check_accuracy for model performance monitoring. Benefits:

Expands the functionality for users interested in semantic segmentation. Provides a quick setup for training and evaluation on custom datasets.

[github-actions[bot]]

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[mahipalimkar]

@UppuluriKalyani can I make a pr?

[UppuluriKalyani]

@UppuluriKalyani can I make a pr?

Yes you can

[github-actions[bot]]

Hey @mahipalimkar, can you share the progress of this project?