Acoustic video cameras multi-species multi-cameras Training Dataset (TD) for Deep Learning applications

This images dataset, called also TD (Training Dataset), is designed to train/test/validate deep learning models to identify fish species in sonar camers video flux. It includes data from two different type of cameras (ARIS and DIDSON), two sites (Touques and Selune rivers in Normandy, France), 6 different fishes classes (Atlantic Salmon, European Eel, Sea Lamprey, Allis Shad, European Catfish and generic unidentified fish). This dataset, formatted in the yolo-darknet format as explained in https://github.com/AlexeyAB/darknet, includes also a large number of images without any fish passage, in order to test the effect of negative data on the trainings.本图像数据集亦被称为TD（训练数据集，Training Dataset），旨在用于训练、测试与验证深度学习模型，以识别声呐相机视频流中的鱼类物种。本数据集包含来自两种不同型号相机（ARIS与DIDSON）的数据，采样站点为法国诺曼底地区的图克河与塞吕讷河，涵盖6个鱼类类别：大西洋鲑（Atlantic Salmon）、欧洲鳗鲡（European Eel）、海七鳃鳗（Sea Lamprey）、西鲱（Allis Shad）、欧洲鲶鱼（European Catfish）以及通用未识别鱼类。本数据集采用YOLO-Darknet格式进行组织，具体格式说明可参考https://github.com/AlexeyAB/darknet。此外，数据集还包含大量无鱼类通过的图像，用于测试负样本数据对模型训练的影响。