Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
parquet
Sub-tasks:
semantic-segmentation
Size:
10K - 100K
License:
metadata
annotations_creators:
- crowdsourced
- expert-generated
language_creators:
- expert-generated
license: mit
multilinguality: []
pretty_name: wilmsct
size_categories:
- 10<20K
source_datasets:
- original
task_categories:
- image-segmentation
task_ids:
- semantic-segmentation
Dataset Card for wilms tumor
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: [Dataset homepage ]
- Repository: [Needs More Information]
- Paper: [Needs More Information]
- Leaderboard: [Needs More Information]
- Point of Contact: [Needs more Information]
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
[Needs More Information]
Data Fields
[Needs More Information]
Data Splits
This dataset only contains one split.
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
[Needs More Information]
Licensing Information
[Needs More Information]
Citation Information
[Needs More Information]