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Tools and scripts for fine-tuning the Segment Anything Model (SAM) on custom datasets for advanced image segmentation.

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Fine Tune SAM

This repository provides tools and scripts for fine-tuning the Segment Anything Model (SAM). SAM is a state-of-the-art model for image segmentation tasks.

Models

This repository contains two fine-tuned versions of SAM:

  • SAM1: Complete fine-tuned model optimized for mitochondria segmentation
  • SAM2: Work in progress - enhanced version with additional capabilities (not yet complete)

Features

  • Fine-tune SAM on custom datasets.
  • Easily configurable pipeline for training and evaluation.
  • Support for various datasets and augmentation techniques.
  • Multiple model variants with different specializations.

Setup

  1. Clone the repository:
    git clone https://github.com/your-username/fine-tune-sam.git
    cd fine-tune-sam
  2. Install dependencies:
    pip install -r requirements.txt
  3. Prepare your dataset:
    • Ensure your dataset is in the required format.
    • Update the configuration file with the dataset path.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

License

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Tools and scripts for fine-tuning the Segment Anything Model (SAM) on custom datasets for advanced image segmentation.

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