README.md

---
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:

```python
from datasets import load_dataset

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

Access individual images and labels:

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

## Applications

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