Update README.md

README.md

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 - synthetic
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 - 10K<n<100K
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+---
+
+# 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