Objective: To investigate the impact of corneal photograph quality on convolutional neural network (CNN) predictions. Design: A CNN trained to classify bacterial and fungal keratitis was evaluated using photographs of ulcers labeled according to 5 corneal image quality parameters: eccentric gaze direction. abnormal eyelid position. over/under-exposure. https://tftoyes.shop/product-category/botcon-tfcc-exclusives/