Datasets:
File size: 1,983 Bytes
e55fed0 8ed2720 e55fed0 8ed2720 e55fed0 5de373b e55fed0 a008422 e55fed0 a008422 e55fed0 a008422 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 | ---
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/) |