LCFP-14M: A High-quality Large-scale Color Fundus Photography Images Dataset with Eleven Types of Annotations

However, the performance of deep learning models is highly dependent on the training data, and the currently available retinal image datasets still have limitations such as scarce total data and poor disease diversity.

Therefore, we extensively collected and integrated the CFP publicly available datasets, resulting in the construction LCFP-14M dataset containing 13,718,610 retinal fundus images with a total of 150,904,710 annotations, which is one of the largest datasets and covers the widest range of ophthalmic diseases at present.