Datasets:

dengwenhui
/

MetaDent

filename stringlengths 13 13	id int64 1 60.7k	source stringclasses 3 values	height int64 200 4.79k	width int64 200 7.81k	image_type stringclasses 3 values	contains_eye bool 2 classes	contains_nose bool 2 classes
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000000018.jpg	18	DS3	447	720	artificial	false	false
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000000079.jpg	79	DS2	549	1,279	natural-human	false	false
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000000100.jpg	100	DS3	768	1,019	natural-human	true	true

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MetaDent: Labeling Clinical Images for Vision-Language Models in Dentistry

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 (n=9,390)
DS3: 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/

Downloads last month: 90

Size of downloaded dataset files:

4.85 GB

Size of the auto-converted Parquet files:

4.85 GB

Number of rows:

60,669