Hi I am new to Kedro. I am trying to improve the machine learning workflow using Kedro. For our use case we are using Kedro with YOLO algorithm for object detection. I implemented a pipeline using Kedro in which the dataset (images and labels ) is saved to an intermediate data directory within the kedro project and hardcoding the path in the training node. This implementaion results in a non linear style of data flow (because there is no actual connection between the data node and the training node). I was wondering if there is a better way to handle this, The problem is that YOLO and most object detection algorithms needs only the path to the data instead of the actual data being loaded. Any help is appreciated, TIA.