渔船类型识别与轨迹预测数据集

渔船类型识别与轨迹预测数据集包含两部分内容：渔船作业方式识别数据集和渔船轨迹预测数据集。渔船作业方式识别数据集通过渔船的ID、经度、纬度、速度、方向和时间等信息，识别出渔船的作业方式，包括围网（标签为0）、刺网（标签为1）和拖网（标签为2）。该数据集旨在根据渔船的航行轨迹和其他行为特征，自动判断其作业类型。渔船轨迹预测数据集则使用渔船ID、经度、纬度、速度、方向和时间等信息，预测渔船在未来时刻的位置，提供预警事故的支持。The Fishing Vessel Type Recognition and Trajectory Prediction Dataset consists of two parts: the fishing vessel operation mode recognition dataset and the fishing vessel trajectory prediction dataset. The fishing vessel operation mode recognition dataset identifies the operation modes of fishing vessels using information such as vessel ID, longitude, latitude, speed, direction and time, with the included operation modes being purse seine (label 0), gillnet (label 1) and trawl net (label 2). This dataset aims to automatically determine the operation type of fishing vessels based on their navigation trajectories and other behavioral characteristics. The fishing vessel trajectory prediction dataset, on the other hand, utilizes information including vessel ID, longitude, latitude, speed, direction and time to predict the positions of fishing vessels at future moments, providing support for accident early warning.

搜集汇总

背景与挑战

背景概述

该数据集由渔船作业方式识别和轨迹预测两部分组成，旨在通过渔船的ID、经纬度、速度、方向和时间等数据，自动识别围网、刺网和拖网三种作业类型，并预测未来位置以提供事故预警支持。数据格式包括txt、csv等文件，总数据量为1.29MB。