SPIDER Skin Model

🚀 SPIDER-Skin Model

The SPIDER-skin model is a deep learning model designed for patch-level skin pathology classification. It's part of the SPIDER dataset initiative, which offers a large, high - quality, multi - organ pathology dataset with expert - annotated labels.

🚀 Quick Start

The model works with 1120×1120 patches. Use the following code snippet to load and use the model:

from transformers import AutoModel, AutoProcessor
from PIL import Image

model = AutoModel.from_pretrained("histai/SPIDER-skin-model", trust_remote_code=True)
processor = AutoProcessor.from_pretrained("histai/SPIDER-skin-model", trust_remote_code=True)

image = Image.open("path_to_image.png")
inputs = processor(images=image, return_tensors="pt")
outputs = model(**inputs)
print(outputs.predicted_class_names)

✨ Features

• Trained for patch - level skin pathology classification.
• Part of the SPIDER dataset initiative with expert - annotated labels.

📦 Installation

The code example above assumes you have the transformers library installed. You can install it using the following command:

pip install transformers

💻 Usage Examples

Basic Usage

from transformers import AutoModel, AutoProcessor
from PIL import Image

model = AutoModel.from_pretrained("histai/SPIDER-skin-model", trust_remote_code=True)
processor = AutoProcessor.from_pretrained("histai/SPIDER-skin-model", trust_remote_code=True)

image = Image.open("path_to_image.png")
inputs = processor(images=image, return_tensors="pt")
outputs = model(**inputs)
print(outputs.predicted_class_names)

📚 Documentation

Model Description

The SPIDER - skin model is a deep learning model trained for patch - level pathology classification, specifically for skin. It is part of the SPIDER dataset initiative, which provides a large, high - quality, multi - organ pathology dataset with expert - annotated labels.

If you would like to support, sponsor, or obtain a commercial license for the SPIDER data and models, please contact us at models@hist.ai.

Model Sources

• Repository: https://github.com/HistAI/SPIDER
• Paper: SPIDER: A Comprehensive Multi - Organ Supervised Pathology Dataset and Baseline Models

Training Data

The model is trained on the [SPIDER - skin](https://huggingface.co/datasets/histai/SPIDER - skin) dataset, a subset of the SPIDER dataset. The dataset includes:

Total Counts:

• 159,854 central patches
• 2,696,987 total patches (including context patches)
• 3,784 total slides used for annotation

Results

📄 License

The model is licensed under CC BY - NC 4.0 and is for research use only.

📚 Citation

If you use this model, please cite the following:

@misc{nechaev2025spidercomprehensivemultiorgansupervised,
      title={SPIDER: A Comprehensive Multi - Organ Supervised Pathology Dataset and Baseline Models}, 
      author={Dmitry Nechaev and Alexey Pchelnikov and Ekaterina Ivanova},
      year={2025},
      eprint={2503.02876},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/abs/2503.02876}, 
}

More Information

To explore other models and the SPIDER dataset you can visit the Hugging Face HistAI page or GitHub of the project.

Contacts

• Authors: Dmitry Nechaev, Alexey Pchelnikov, Ekaterina Ivanova
• Email: dmitry@hist.ai, alex@hist.ai, kate@hist.ai