鲤鱼鱼种特征分析识别数据集

内部数据数据采集和外部数据采集情况：该数据集主要通过企业内部各部自行采集，监测部门通过水域环境监测设备，采集鱼种栖息水域的水质数据、温度、pH值、溶氧量等环境数据。人工标注部门通过人工标注和机器视觉系统，采集鱼种的图像、视频数据，利用算法进行特征提取与分析，形成相关的特征数据。目前，这些数据完全来自企业内部的各个部门和技术平台，主要以现场数据采集、自动化监测系统和人工标注为主，未涉及外部数据采集。

Internal and External Data Collection Overview: This dataset is primarily collected independently by various internal departments of the enterprise. The monitoring department collects environmental data including water quality parameters, temperature, pH value, and dissolved oxygen in the fish habitat waters via aquatic environment monitoring equipment. The manual annotation department collects image and video data of fish species through manual annotation and machine vision systems, and performs feature extraction and analysis using algorithms to generate relevant feature datasets. Currently, all these data are exclusively sourced from various internal departments and technical platforms of the enterprise, mainly relying on on-site data collection, automated monitoring systems and manual annotation, with no external data collection involved.

搜集汇总

背景与挑战

背景概述

该数据集包含100条鲤鱼鱼种的特征数据，更新频次为每周。数据通过企业内部采集，包括环境数据和鱼种图像视频数据，应用于生态保护、鱼种识别和鱼道监测等场景。