Scalable and realistic camera blockage dataset generation

Provided are methods for scalable and realistic camera blockage dataset generation, which include generating synthetic images depicting a blockage on or near an imaging sensor. The synthetic images are created by combining one or more chroma key-extracted partial blockage image with one or more background images, the combination of which can provide a scalable blockage dataset. Metadata for each synthetic image can be generated along with the synthetic image, by annotating the portion of the synthetic image represented by the chroma key-extracted partial blockage image as constituting blockage. The synthetic images can be used to increase the accuracy of machine learning models trained to identify blockage by increasing the volume of data available for such training.