Dental Anatomy Dataset - Yolov8

This dataset is a well-organized and comprehensive collection of annotated images, ideal for training, validating, and testing machine learning models. It is structured into three distinct folders:

• Train: Contains 505 annotated images, designed for model training.
• Validate: Includes 112 annotated images for model validation.
• Test: Features 107 annotated images for evaluating model performance.

Additionally, a data.yaml file is provided, containing all the class names and essential path variables to simplify integration with machine learning frameworks.

Key Features:

1. Diverse Annotations: Richly annotated images to ensure high-quality data for robust model development.
2. Clear Organization: Separate folders for training, validation, and testing to streamline workflow.
3. Pre-configured YAML File: Provides class names and paths, enabling seamless setup and usage.

Applications:

This dataset is perfect for image classification, object detection, and computer vision tasks. Its structured layout and detailed annotations make it a valuable resource for researchers, data scientists, and AI developers.