Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
parquet
Sub-tasks:
semantic-segmentation
Size:
10K - 100K
License:
Dataset Card for wilms tumor
Dataset Summary
A dataset of Wilms Tumor. Label your own semantic segmentation datasets
Supported Tasks and Leaderboards
semantic-segmentation: The dataset can be used to train a semantic segmentation model, where each pixel is classified. The model performance is measured by how high its mean IoU (intersection over union) to the reference is.
Dataset Structure
Data categories
| Id | Name | Description |
|---|---|---|
| 0 | background | - |
| 1 | tumor | - |
Data Instances
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Data Fields
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Data Splits
This dataset only contains one split.
Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Licensing Information
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Citation Information
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