The aim of this challenge is to create models which can be used to identify and classify important disorders of the heart from electrocardiogram (ECG, EKG) images. The dataset includes synthetic images of ECGs which simulate artefacts which might occur when taking a photo of the ECG with a smart phone. Models to automate diagnoses from these images could be used to speed up heart disease care around the world.