Datasets:

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junma

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CVPR-BiomedSegFM

like 12

This PR significantly improves the dataset card by adding crucial metadata and content, making it more informative and discoverable:

• Added image-segmentation to task_categories in the metadata, making the dataset discoverable by this core AI domain.
• Included descriptive tags such as medical, biomedical, 3d, and cvpr2025 to further categorize the dataset and improve searchability.
• Linked to the associated paper: Medal S: Spatio-Textual Prompt Model for Medical Segmentation, providing direct access to the research context.
• Linked to the GitHub repository: https://github.com/yinghemedical/Medal-S, offering access to the model code that uses this dataset.
• Added a brief summary of the paper's abstract to provide immediate context about the dataset's application and significance.
• Improved existing sample usage snippets by:
  • Adding import numpy as np to make them immediately runnable.
  • Standardizing quotes from fancy ‘ ’ to standard single quotes '.
  • Organizing them under clear "Sample Usage" subheadings for better readability.

These changes enhance the dataset card's completeness and usability for the community.