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README.md

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+---
+license: apache-2.0
+task_categories:
+- image-classification
+language:
+- en
+---
+
+# 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 set
+  - `images/`: Training images
+  - `labels.csv`: Training labels
+- `val/`: Validation set
+  - `images/`: Validation images
+  - `labels.csv`: Validation labels
+- `test/`: Test set
+  - `images/`: Test images
+  - `labels.csv`: Test labels
+
+Additional files:
+- `split_metadata.json`: Contains metadata about the dataset splits
+- `test_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.