metadata

license: apache-2.0
task_categories:
  - image-classification
language:
  - en
tags:
  - Tooth
  - Agenesis
  - 6-Types
  - biology
  - chemistry
  - synthetic
size_categories:
  - 10K<n<100K

Tooth-Agenesis-6_Types

This dataset contains labeled dental images intended for training machine learning models on the classification of six different oral health conditions. It is designed for image classification tasks, specifically targeting types of tooth agenesis and other related dental conditions.

Dataset Summary

Total Images: 12,320
Format: Parquet
Modality: Image
Split: train only
Size: 183 MB
Language: English
License: Apache 2.0

Labels

The dataset includes the following six categories of dental conditions:

Label ID	Class Name
0	Calculus
1	Caries
2	Gingivitis
3	Mouth Ulcer
4	Tooth Discoloration
5	Hypodontia

Usage

This dataset can be used for:

Training and evaluating image classification models for dental diagnosis
Research in dental pathology classification using AI
Development of dental health assessment tools

How to Use

You can load this dataset using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("strangerguardhf/Tooth-Agenesis-6_Types")

Access individual images and labels:

image = dataset["train"][0]["image"]
label = dataset["train"][0]["label"]

Applications

Clinical decision support systems
Diagnostic tools in tele-dentistry
Automated dental checkup assistants