| --- |
| license: cc-by-nc-4.0 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| dataset_info: |
| features: |
| - name: filename |
| dtype: string |
| - name: id |
| dtype: int64 |
| - name: image |
| dtype: image |
| - name: source |
| dtype: string |
| - name: height |
| dtype: int64 |
| - name: width |
| dtype: int64 |
| - name: image_type |
| dtype: string |
| - name: contains_eye |
| dtype: bool |
| - name: contains_nose |
| dtype: bool |
| splits: |
| - name: train |
| num_bytes: 4563736373 |
| num_examples: 60669 |
| download_size: 4846624699 |
| dataset_size: 4563736373 |
| task_categories: |
| - image-classification |
| - image-segmentation |
| - image-to-text |
| language: |
| - en |
| tags: |
| - dental |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| <h1 align="center">MetaDent: Labeling Clinical Images for Vision-Language Models in Dentistry</h1> |
|
|
| <p align="center"> |
| <a href="https://journals.sagepub.com/doi/10.1177/00220345261424242"> |
| <img src="https://img.shields.io/badge/Paper-JDR_2026-b31b1b" alt="Paper"> |
| </a> |
| <a href="https://menxli.github.io/metadent/"> |
| <img src="https://img.shields.io/badge/Website-MetaDent-skyblue" alt="Website"> |
| </a> |
| </p> |
| |
|
|
| ### Overview |
|
|
| **MetaDent Image** is a large-scale clinical dental image dataset. It is constructed by collecting and filtering images from multiple publicly available and institutional sources. The dataset is designed to support research in dental image analysis and vision-language modeling for oral healthcare. |
|
|
| ### Data Sources |
|
|
| The dataset is curated from the following sources: |
|
|
| * DS1: Hospital of Stomatology, Wuhan University (n=4,373) |
| * DS2: [Teeth or Dental Image Dataset](https://data.mendeley.com/datasets/6zsnhrds9t/1) (n=9,390) |
| * DS3: [COYO-700M](https://huggingface.co/datasets/kakaobrain/coyo-700m) filtered for dental images (n=46,906) |
|
|
| ### More Information |
|
|
| For additional details about the dataset, please visit our project website: |
|
|
| 👉 [https://menxli.github.io/metadent/](https://menxli.github.io/metadent/) |
