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

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.

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.

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.

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.

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.