The benefits of optimizing models for retinal images may be smaller than anticipated, particularly when compared to natural images. While retinal images share certain characteristics with natural images, synthetic or experimental data may yield less benefit. Additionally, concerns about sensitive information in medical images necessitate careful de-identification processes, including the use of OCR techniques to mask any identifiable writing.