========== Objectives ========== In much of the work in the field of machine learning and deep learning, a bottleneck exists in the dataloading phase itself. This is becoming increasingly recognised as an issue which needs to be solved. Benzina aims to become a go-to tool for dataloading large datasets. Other tools exist, such as `Dali `_. Yet Benzina concentrates itself on two aspects : * Highest level of performance for dataloading using GPU as loading device * Creation of a generalist storage format as a single file facilitating distribution of datasets and useful in the context of file system limits. Further feature points ====================== * Generalist DNN framework methods provided to integrate Benzina to PyTorch and TensorFlow * Command line programs will be created to assist in Benzina - compatible datasets * API interface to interact with Benzina