Detecting Sickle Cells in Blood Computer Vision Project

Here are a few use cases for this project:

1. Medical Diagnosis: This model can be used by healthcare professionals for detecting sickle cell anemia by analyzing patient's blood sample images. This will assist in quick and early diagnosis, thus improving patient outcomes.

2. Health Research: Research institutions could use the model to study the prevalence of sickle cells in different populations, their correlation with other diseases, and also use it in drug research and discovery related to sickle cell diseases.

3. Education: Education institutions and researchers can use this model as a tool for teaching medical students or biotechnology students about sickle cell identification, their shapes and how they are different from normal cells.

4. Pharmaceutical Companies: These companies can use this model during the process of drug discovery and development related to sickle cell disease. It would help them in evaluating the impact of drugs on sickle cells.

5. Blood Banks: Blood banks could use the model to ensure the health and quality of donated blood by quickly scanning for the presence of sickle cells, thus improving the safety of blood transfusions.

Please note, the mentioned object classes (submarine, ice cube, vertical, duplicate) seem unrelated to detecting sickle cells- perhaps they are metaphoric or nicknames for different shapes or appearances of sickle cells. If that's the case, their specific definitions should be included in the project description.