Data underlying the publication: An integrated end-to-end deep neural network for automated detection of discarded fish species and their weight estimation.

The dataset contains images of the discarded fish on the conveyor belt and annotations. Annotations are prepared in YOLO format, i.e. separate text files, containing fish species label, object bounding box annotation, weight and occlusion level. Annotation per individual fish is written in a separate row of the file.Additionally, we provide weight file (.pt) for the best performing Detection-Weight2 model.

本数据集包含传送带上废弃鱼类的图像及其标注文件。标注采用YOLO（You Only Look Once）格式，即每个标注对应一个独立的文本文件，文件内包含鱼类种类标签、目标边界框标注、重量信息与遮挡程度。每条鱼类的标注单独占据文件的一行。此外，我们还提供了表现最优的Detection-Weight2模型的权重文件（.pt格式）。