渔船轨迹数据

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。

This competition focuses on intelligent recognition of maritime targets and operational behavior analysis based on positioning data. Contestants are required to analyze the positioning data from fishing vessels' BeiDou devices to determine the vessels' production operation behaviors, specifically distinguishing between trawl fishing, purse seine fishing and drift net fishing. A total of 11,000 sets of BeiDou positioning trajectory data of fishing vessels will be provided for the preliminary contest, 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

渔船轨迹数据集包含11000条渔船北斗设备位置数据，用于分析渔船的生产作业行为，如拖网、围网或流刺网作业。数据集分为7000条训练数据和4000条测试数据，包含渔船ID、坐标、速度、航向和时间等字段，适用于海上目标智能识别和作业行为分析任务。