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| description: Explore the MaskDecoder and MLP modules in Ultralytics for efficient mask prediction using transformer architecture. Detailed attributes, functionalities, and implementation. |
| keywords: Ultralytics, MaskDecoder, MLP, machine learning, transformer architecture, mask prediction, neural networks, PyTorch modules |
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| # Reference for `ultralytics/models/sam/modules/decoders.py` |
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| !!! Note |
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| This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/decoders.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/models/sam/modules/decoders.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/models/sam/modules/decoders.py) 🛠️. Thank you 🙏! |
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| ## ::: ultralytics.models.sam.modules.decoders.MaskDecoder |
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| <br><br><hr><br> |
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| ## ::: ultralytics.models.sam.modules.decoders.SAM2MaskDecoder |
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