鱼类目标检测识别数据集

鱼类目标检测识别数据集可为水产企业提供智能计数、病害预警、精准投喂的数据支撑，为科研机构提供物种识别模型训练、鱼群行为分析的核心素材，为渔业部门提供资源监测、生态评估的技术工具，助力智慧渔业智能化升级与海洋生物多样性保护。

Fish object detection and recognition datasets can provide aquaculture enterprises with data support for intelligent counting, disease early warning and precision feeding; offer core datasets for research institutions to train species recognition models and analyze fish school behavior; provide fishery authorities with technical tools for resource monitoring and ecological assessment, thereby facilitating the intelligent upgrading of smart fisheries and the conservation of marine biodiversity.

搜集汇总

背景与挑战

背景概述

该数据集是一个专为智慧渔业和海洋生态监测设计的高精度计算机视觉数据集，涵盖中国近海150多种鱼类，包含超过30万张带精准标注的水下图像，标注维度包括边界框坐标、物种标签和健康状态等。它支持多种标注格式和主流深度学习框架，可用于智能计数、病害预警和物种识别模型训练，助力渔业智能化升级和生物多样性保护。