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  ---
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  license: cc-by-nc-nd-4.0
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  task_categories:
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- - image-segmentation
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  modality:
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- - image
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  language:
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- - en
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  tags:
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- - medical
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- - ophthalmology
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- - fairness
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- - segmentation
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- - fundus
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- - glaucoma
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- - disc-cup
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- pretty_name: Harvard-FairSeg
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  size_categories:
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- - 10K<n<100K
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  ---
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  # Dataset Card: Harvard-FairSeg
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  **APA:**
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- Tian, Y., Shi, M., Luo, Y., Kouhana, A., Elze, T., & Wang, M. (2024). FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling. *The Twelfth International Conference on Learning Representations (ICLR 2024)*.
 
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  ---
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  license: cc-by-nc-nd-4.0
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  task_categories:
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+ - image-segmentation
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  modality:
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+ - image
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  language:
8
+ - en
9
  tags:
10
+ - medical
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+ - ophthalmology
12
+ - fairness
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+ - segmentation
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+ - fundus
15
+ - glaucoma
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+ - disc-cup
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+ pretty_name: FairSeg
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  size_categories:
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+ - 10K<n<100K
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  ---
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  # Dataset Card: Harvard-FairSeg
 
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  **APA:**
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+ Tian, Y., Shi, M., Luo, Y., Kouhana, A., Elze, T., & Wang, M. (2024). FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling. *The Twelfth International Conference on Learning Representations (ICLR 2024)*.