{"id":19787901,"url":"https://github.com/muhammadshavaiz/semantic-image-segmentation","last_synced_at":"2026-04-15T18:01:58.098Z","repository":{"id":237752272,"uuid":"795173179","full_name":"MuhammadShavaiz/SEMANTIC-IMAGE-SEGMENTATION","owner":"MuhammadShavaiz","description":"This repository implements and evaluates SegNet, U-Net, and models from segmentation_models.pytorch for vehicle segmentation using PyTorch. 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The dataset comprises images of cars with their segmentation masks, allowing for the evaluation of these models' ability to accurately segment cars in images.\n\n## Features\n\n- **Dataset**: Contains images of cars with their segmentation masks.\n- **Models**: Implements SegNet, U-Net, and a pre-trained model using `segmentation_models.pytorch`.\n- **Evaluation**: Includes metrics for evaluating model performance, such as pixel accuracy and mean IoU.\n\n## Getting Started\n\n### Prerequisites\n\n- Python 3.x\n- PyTorch\n- `segmentation-models-pytorch`\n\n### Installation\n\nClone the repository and open in google colab.\n\n### Data Preparation\n\nDownload the dataset from the provided link and place it in the appropriate directories (`images` and `masks`) \n\n### Model Implementations\n\n#### SegNet\n\n- Description of SegNet architecture and its relevance to semantic segmentation.\n\n#### U-Net\n\n- Description of U-Net architecture and its relevance to semantic segmentation.\n\n#### Pre-trained Model\n\n- Description of the pre-trained model using `segmentation_models.pytorch` and its benefits.\n\n### Usage\n\nInclude usage instructions and code snippets for loading models, preparing data, and performing predictions.\n\n### Evaluation\n\nExplain the evaluation metrics used and how to calculate them using the provided functions.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmuhammadshavaiz%2Fsemantic-image-segmentation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmuhammadshavaiz%2Fsemantic-image-segmentation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmuhammadshavaiz%2Fsemantic-image-segmentation/lists"}