markury/AndroAtlas

AndroAtlas

Overview: AndroAtlas is a specialized dataset designed to address the underrepresentation of male anatomy in popular AI models. This dataset aims to enhance the capability of Vision-Language Models (VLMs) like PaliGemma and Diffusion Transformers such as Stable Diffusion by providing labeled examples of male anatomy. The data is comprised of text and image pairs.

Contents:

• Text and Image Pairs: Curated from the internet, ensuring diverse and representative samples.
• Annotations: Detailed labels (within technical limitations) to enhance model training and understanding.
• Focus: Male anatomy

Purpose: The primary goal of AndroAtlas is to "educate" AI models on material that has likely been excluded or underrepresented in their initial training data. By doing so, we aim to create models that better understand the real world, including nuanced and often overlooked aspects of human anatomy.

Applications:

• Research: Enhancing the understanding and representation of male anatomy in AI models.
• Medical Imaging: Potential applications in medical AI for more accurate representation and diagnosis.
• Educational Tools: Developing more inclusive and comprehensive educational AI tools.

Usage: To use AndroAtlas, simply integrate the dataset into your model training pipeline. Ensure to adhere to ethical guidelines and respect privacy considerations when working with anatomical data.

Ethical Considerations:

• Privacy: All data is anonymized and sourced with respect to privacy.
• Representation: Striving for a balanced and respectful representation of male anatomy.
• Purpose: Intended for educational, research, and medical purposes to enhance AI understanding and representation.

Citation: If you use AndroAtlas in your research or application, please cite this dataset as follows:

@dataset{androatlas_2024,
  author       = {Markury},
  title        = {AndroAtlas: A Comprehensive Dataset for Male Anatomy Representation in AI Models},
  year         = 2024,
  publisher    = {Hugging Face},
  note         = {https://huggingface.co./datasets/markury/AndroAtlas}
}

By integrating AndroAtlas into your projects, you contribute to a more inclusive and representative AI landscape.