智慧海洋建设

2020数字中国创新大赛—算法赛：智慧海洋建设。本赛题基于位置数据对海上目标进行智能识别和作业行为分析，要求选手通过分析渔船北斗设备位置数据，得出该船的生产作业行为，具体判断出是拖网作业、围网作业还是流刺网作业。初赛将提供11000条(其中7000条训练数据、2000条testA、2000条testB)渔船轨迹北斗数据。2020 Digital China Innovation Contest - Algorithm Competition: Smart Ocean Construction. This contest task focuses on intelligent recognition of marine targets and analysis of operational behaviors using location data. Contestants are required to analyze the positioning data collected from fishing vessels' Beidou equipment to infer the vessels' production and operational activities, specifically classifying them into three categories: trawling, seine fishing, and drift gillnet fishing. The preliminary round will provide 11,000 sets of fishing vessel trajectory data via Beidou positioning, including 7,000 training samples, 2,000 testA samples, and 2,000 testB samples.

搜集汇总

背景与挑战

背景概述

该数据集源自2020数字中国创新大赛的算法赛题'智慧海洋建设'，旨在通过渔船北斗设备位置数据智能识别其作业行为，包括拖网、围网和流刺网。数据包含11000条渔船轨迹，其中7000条用于训练，其余为测试集，复赛还将引入AIS数据以增强识别效果。