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SkinCAP

Tasks:
Image-to-Text
Modalities:
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Formats:
imagefolder
Languages:
Chinese
English
Size:
1K - 10K
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Tags:
biology
skin
disease
caption
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SkinCAP / README.md
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metadata
license: cc-by-nc-sa-4.0
task_categories:
  - image-to-text
language:
  - zh
  - en
tags:
  - biology
  - skin
  - disease
  - caption
size_categories:
  - 1K<n<10K
extra_gated_heading: You need to share contact information with KAUST to access this model
extra_gated_prompt: >-
  ### SkinCAP USE AGREEMENT

  By registering for downloads from the SkinCAP Dataset, you are agreeing to
  this Research Use Agreement.

  1. Permission is granted to view and use the SkinCAP Dataset without charge
  for personal, non-commercial research purposes only. Any commercial use, sale,
  or other monetization is prohibited.

  2. Other than the rights granted herein, King Abdullah University of Science
  and Technology (“KAUST”) retains all rights, title, and interest in the
  SkinCAP Dataset.

  3. You may make a verbatim copy of the SkinCAP Dataset for personal,
  non-commercial research use as permitted in this Research Use Agreement. If
  another user within your organization wishes to use the SkinCAP Dataset, they
  must register as an individual user and comply with all the terms of this
  Research Use Agreement.

  4. YOU MAY NOT DISTRIBUTE, PUBLISH, OR REPRODUCE A COPY of any portion or all
  of the SkinCAP Dataset to others without specific prior written permission
  from KAUST.

  5. YOU MAY NOT SHARE THE DOWNLOAD LINK to the SkinCAP dataset to others. If
  another user within your organization wishes to use the SkinCAP Dataset, they
  must register as an individual user and comply with all the terms of this
  Research Use Agreement.

  6. You must not modify, reverse engineer, decompile, or create derivative
  works from the SkinCAP Dataset. You must not remove or alter any copyright or
  other proprietary notices in the SkinCAP Dataset.

  7. The SkinCAP Dataset has not been reviewed or approved by the Food and Drug
  Administration, and is for non-clinical, Research Use Only. In no event shall
  data or images generated through the use of the SkinCAP Dataset be used or
  relied upon in the diagnosis or provision of patient care.

  8. THE SkinCAP DATASET IS PROVIDED "AS IS," AND KAUST AND ITS COLLABORATORS DO
  NOT MAKE ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO
  WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE, NOR DO
  THEY ASSUME ANY LIABILITY OR RESPONSIBILITY FOR THE USE OF THIS Diverse
  Dermatology Images DATASET.

  9. You will not make any attempt to re-identify any of the individual data
  subjects. Re-identification of individuals is strictly prohibited. Any
  re-identification of any individual data subject shall be immediately reported
  to KAUST.

  10. Any violation of this Research Use Agreement or other impermissible use
  shall be grounds for immediate termination of use of this SkinCAP Dataset. In
  the event that KAUST determines that the recipient has violated this Research
  Use Agreement or other impermissible use has been made, KAUST may direct that
  the undersigned data recipient immediately return all copies of the SkinCAP
  Dataset and retain no copies thereof even if you did not cause the violation
  or impermissible use.

  In consideration for your agreement to the terms and conditions contained
  here, KAUST grants you permission to view and use the SkinCAP Dataset for
  personal, non-commercial research. You may not otherwise copy, reproduce,
  retransmit, distribute, publish, commercially exploit or otherwise transfer
  any material.

  Limitation of Use. You may use SkinCAP Dataset for legal purposes only.

  You agree to apply for access to Fitzpatrick17k images at [Fitzpatrick17k
  website](https://github.com/mattgroh/fitzpatrick17k), access to DDI images at
  [DDI website](https://ddi-dataset.github.io/), and access to SKINCON
  annotations at [SKIN Concepts
  Dataset](https://skincon-dataset.github.io/index.html) immediately to
  officially access the raw images used in SkinCAP. You agree that all raw skin
  disease images can be legally viewed and used only if you have obtained access
  to them.
extra_gated_fields:
  First Name: text
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  Date of birth: date_picker
  Country: country
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  geo: ip_location
extra_gated_button_content: Submit

🍀SkinCAP: A Multi-modal Dermatology Dataset Annotated with Rich Medical Captions

SkinCAP comprises 4,000 images sourced from the Fitzpatrick 17k skin disease dataset and the Diverse Dermatology Images dataset, meticulously annotated by our dermatologists to provide extensive medical descriptions and captions.

Our annotation is released!🎉

  • v240715: Converted English Annotations with Google Translate

  • v240623: Converted English Annotations with GPT-4

*To officially access the raw images of skin diseases requires an additional application for entry.

*To get access to Fitzpatrick17k images, please visit Fitzpatrick17k website.

*To get access to DDI images, please visit DDI website.

*To get access to SKINCON annotations, please visit SKIN Concepts Dataset.

Figure_1

Additional Information

Acknowledgement

Licensing Information

The dataset is released under the Creative Commons Attribution Non-Commercial Share Alike 4.0 International (CC-BY-NC-SA 4.0) license (https://creativecommons.org/licenses/by-nc-sa/4.0/).

Citation Information 

@misc{zhou2024skincap,
      title={SkinCAP: A Multi-modal Dermatology Dataset Annotated with Rich Medical Captions}, 
      author={Juexiao Zhou and Liyuan Sun and Yan Xu and Wenbin Liu and Shawn Afvari and Zhongyi Han and Jiaoyan Song and Yongzhi Ji and Xiaonan He and Xin Gao},
      year={2024},
      eprint={2405.18004},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}