Data for Efficient detection of fishes in underwater images from diverse reef ecosystems using deep learning (reviewer version)

<div> <div> <div> <p>FishForYolo.zip comprises images in .jpeg format along with normalized labels in YOLO format and non-normalized labels. This dataset is utilized for both training and testing purposes.</p> </div> </div> </div> <p>The shooting.csv file contains the mapping between videos and their respective shooting instances, which denote all videos captured at a particular location and time. It is used for data analysis.</p> <p>split.yaml delineates the partitioning of data into training, validation, and testing sets. This file is integral for the model to access annotations appropriately during its execution.</p> <p>labels_log.csv contains the annotations in CSV format, supplemented with additional details such as bounding box area or label region. It is instrumental for conducting thorough data analysis.</p> <p>SU_preds.zip contains the predictions of our best model on the test set (in the labels directory). The directory structure mirrors that of FishForYolo.zip. It also contains a file "all_preds.csv" which contains the predictions in CSV format.</p>