The project aims to enhance Okare AI's dental image database by accurately annotating a set of dental images. This task is crucial for developing and training machine learning models that can assist in dental diagnostics. The project will provide learners with the opportunity to apply their knowledge of image processing and annotation techniques. The team will work with a predefined set of dental images, focusing on identifying and labeling key features such as teeth, cavities, and other dental structures. By completing this project, learners will contribute to the advancement of AI technology in the dental field, while gaining practical experience in data annotation and understanding the nuances of dental imagery.

Key tasks include:

- Reviewing and understanding the annotation guidelines provided by Okare AI.

- Annotating a set of dental images with high accuracy.

- Ensuring consistency and quality across all annotated images.

- Collaborating with team members to resolve any ambiguities in the annotation process.

Please note students are expected to have a basic understand of dentistry to accomplish this task.

The project deliverables will include a fully annotated dataset of dental images, ready for use in AI model training. Each image will be annotated according to the guidelines provided, ensuring high accuracy and consistency. Additionally, a brief report summarizing the annotation process, challenges faced, and solutions implemented will be submitted. This report will provide insights into the quality assurance measures taken and any recommendations for future annotation projects.