---
license: apache-2.0
language:
- en
pretty_name: SiDoLa-NS Meso Scale, peripheral Nerves, for Fascicle Detection
tags:
- microscopy
- segmentation
- yolo
- pytorch
- trained-models
task_categories:
- image-segmentation
- object-detection
size_categories:
- 100K<n<1M
---

# SiDoLa-NS-Meso-pSN
https://sidolans01.mgifive.org/

## Dataset Summary
This dataset contains high-resolution microscopy images of simluated peripheral nerves, together with their corresponding labels for training segmentation and detection models. The dataset is primarily intended for training and benchmarking deep learning pipelines (e.g., YOLO, SAHI, SAM-based workflows).

In addition to the raw images and labels, some dataset folders also contain:
- Pretrained PyTorch models (`.pt`) trained directly on these images  
- Rendering or preprocessing scripts used to generate the dataset splits  

## Supported Tasks and Benchmarks
- **Image Segmentation**  
- **Object Detection**  

## Languages
English (metadata, labels)

## Data Splits
The dataset is structured into multiple folders. Each folder may include:
- `/images` – raw microscopy images  
- `/labels` – segmentation/detection labels  
- `*.pt` – (optional) trained PyTorch model files  
- `render_*.*` – (optional) rendering/preprocessing scripts  

## Citation
If you use this dataset, please cite:
https://www.biorxiv.org/content/10.1101/2024.08.02.605366v2