In this project, students will collaborate to compile a comprehensive dataset of various materials, including resin, dyed materials, natural minerals, and rocks. The goal is to create a well-structured dataset with detailed documentation of each material's properties and characteristics. This dataset will serve as a crucial resource for subsequent phases of the material identification system development.

Data Collection:

• Students will collect physical samples of different materials, including resin, dyed materials, natural minerals, and rocks. These samples will serve as the basis for the dataset.
• Each student or group of students will focus on specific material categories to ensure comprehensive coverage.

Data Documentation:

• Students will document the properties and characteristics of each material sample. This documentation may include information such as chemical composition, visual appearance, weight, dimensions, and any other relevant details.
• Digital photographs of the materials should be taken to facilitate visual analysis.

Dataset Organization:

• Students will organize the collected data into a structured dataset. This dataset will include labels indicating the category of each material (resin, dyed, natural mineral, or rock).
• Proper file naming and folder organization will be important for ease of use in subsequent phases of the project.

Project Deliverables:

Upon completion of the project, students will deliver the following:

1. Dataset: A well-organized dataset containing the collected materials, properly labeled with their respective categories (resin, dyed, natural mineral, or rock).
2. Documentation: Detailed documentation for each material sample, including properties, characteristics, and any relevant observations.