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Image Classification
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Pectus Excavatum Dataset
Dataset Description
This dataset contains images of pectus excavatum cases with various demographic information and risk levels. The dataset is intended for medical research and classification purposes.
Labels
The dataset includes the following label categories:
- Age: adult, child
- Ethnicity: asian, white, hispanic, undetermined
- Gender: male, female
- Risk Level: high-risk, low-risk
Data Splits
- creation_date: 2025-01-22T14:12:49.587991 images
- original_size: 741 images
- split_stats: N/A images
- class_weights: N/A images
- excluded: N/A images
Dataset Structure
The dataset is organized into three splits:
train/
: Training setimages/
: Training imageslabels.csv
: Training labels
val/
: Validation setimages/
: Validation imageslabels.csv
: Validation labels
test/
: Test setimages/
: Test imageslabels.csv
: Test labels
Additional files:
split_metadata.json
: Contains metadata about the dataset splitstest_set_validation_report.json
: Validation report for the test set
Labels Format
Each labels.csv
file contains the following columns:
- image_id: Unique identifier for each image
- original_path: Original path of the image
- new_path: New path in the processed dataset
- original_category: Original category label
- age: Age category
- ethnicity: Ethnicity category
- gender: Gender category
- risk_level: Risk level category
Citation
If you use this dataset in your research, please cite it appropriately.
Acknowledgements
Thanks to all contributors and medical professionals who helped in creating and labeling this dataset.
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