Segment Anything
Paper • 2304.02643 • Published • 6
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AgentProject XuLab — Large Files
This dataset hosts large binary files for the AgentProject_XuLab repository, which is part of the XuLab research project on AI-driven Cryo-Electron Tomography (CryoET) analysis.
These files are stored here due to GitHub's 100MB file size limit.
Contents
| File | Size | Description |
|---|---|---|
sam_vit_b_01ec64.pth |
358 MB | SAM (Segment Anything Model) ViT-B checkpoint |
medsam_vit_b.pth |
358 MB | MedSAM ViT-B checkpoint (medical image segmentation) |
tomograms/local.mrc |
1.6 GB | CryoET tomogram — full volume (NPC1-deficient HEK293T cells) |
tomograms/mitochondrion_20036.mrc |
385 MB | CryoET tomogram — mitochondrion annotation volume |
About the Data
The tomogram files are from a CryoET dataset of NPC1-deficient human HEK293T cells with annotations for multiple cellular features including lysosomes, mitochondria, and membranes.
The .pth files are pretrained model weights used by the CryoETAgent pipeline for organelle segmentation:
- SAM (Kirillov et al., 2023) — general-purpose segmentation
- MedSAM (Ma et al., 2024) — SAM fine-tuned for medical/biological imaging
Usage
Clone the GitHub repo and run the download script:
git clone https://github.com/vatsal-ts/AgentProject_XuLab
cd AgentProject_XuLab
pip install huggingface_hub
python download_large_files.py
This will place all files in their correct locations automatically.
Related
- GitHub repo: vatsal-ts/AgentProject_XuLab
- CryoETAgent: AI agent for automated CryoET organelle analysis
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