mbariml: a curation pipeline for turning deep-sea imagery and video into object-detection training data

Training data quantity and quality greatly affect object detection model performance, regardless of model architecture. When using object detection models on video and images from the deep sea, in which the objects of interest, primarily organisms, are sparse, faint, and hard to identify, incrementa