DeepFish Dataset

DeepFish as a benchmark suite with a large-scale dataset to train and test methods for several computer vision tasks. The dataset consists of approximately 40 thousand images collected underwater from 20 habitats in the marine environments of tropical Australia. It contains classification labels as well as point-level and segmentation labels to have a more comprehensive fish analysis benchmark. These labels enable models to learn to automatically monitor fish count, identify their locations, and estimate their sizes.

DeepFish作为一个基准测试套件，拥有大规模数据集，旨在训练和测试多种计算机视觉方法的性能。该数据集由约40,000张从热带澳大利亚海洋环境中的20个栖息地水下采集的图像组成。它不仅包含分类标签，还包含点级和分割标签，旨在构建一个更为全面的鱼类分析基准。这些标签能够帮助模型自动监测鱼类数量、识别其位置并估算其尺寸。