Synthetic dataset for polyp segmentation. It is the first dataset generated using zero annotations from medical professionals. The dataset is composed of 20 000 images with a resolution of 500×500. SynthColon additionally includes realistic colon images generated with a CycleGAN and the Kvasir training set images. Synth-Colon can also be used for the colon depth estimation task because it provides depth and 3D information for each image. . In summary, Synth-Colon includes: – Synthetic images of the colon and one polyp. – Masks indicating the location of the polyp. – Realistic images of the colon and polyps. Generated using CycleGAN and the Kvasir dataset. – Depth images of the colon and polyp. – 3D meshes of the colon and polyp in OBJ format.