OLDA-Bench-Dataset / README.md
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---
license: apache-2.0
task_categories:
- image-segmentation
language:
- en
pretty_name: OLDA-Bench Dataset
size_categories:
- 1K<n<10K
---
# OLDA-Bench Dataset
## Overview
OLDA-Bench is a benchmark dataset for oral leukoplakia progression analysis. The dataset contains oral photographic images with lesion annotations, covering oral leukoplakia and oral leukoplakia-associated cancer lesions.
The dataset is designed to support:
* Oral lesion detection
* Instance segmentation
* Progression recognition
* Clinical validation studies
---
## Dataset Structure
```text
OLDA-Bench-Dataset
├── Public_all_train
├── PPT_valid
└── Clinical_test
```
### Public_all_train
Training set collected from publicly available oral lesion resources.
### PPT_valid
Validation set used for model development and hyperparameter tuning.
### Clinical_test
Independent external clinical test set collected from real-world clinical practice.
---
## Categories
The dataset contains two categories:
| Category | Description |
| ------------------ | ------------------------------------------------------ |
| Leukoplakia | Oral leukoplakia lesions |
| Leukoplakia-Cancer | Oral leukoplakia lesions with malignant transformation |
---
## Annotation Format
Images are provided in JPEG format:
```text
xxx.jpeg
```
Annotations are provided in Labelme JSON format:
```text
xxx.json
```
Each JSON file contains polygon-level lesion annotations corresponding to its image.
---
## Access Policy
The dataset is released under gated access.
Researchers may request access through the Hugging Face dataset page.
Access requests are reviewed manually and granted for academic and non-commercial research purposes only.
---
## Related Resources
### Code Repository
https://github.com/GuanyuChen8/OLDA-Bench
### Model Repository
https://huggingface.co/gy-chen/OLDA-Bench
---