大豆作物中杂草的检测数据集

From the set of images captured by the UAV, all those with occurrence of weeds were selected resulting a total of 400 images. Through the Pynovisão software, using the SLIC algorithm, these images were segmented and the segments annotated manually with their respective class. These segments were used in the construction of the image dataset.

从无人机（UAV）采集的初始图像集合中，筛选出所有包含杂草的图像，最终共计得到400张图像。借助Pynovisão软件，采用SLIC算法对这些图像进行分割，并对分割得到的图像片段手动标注其所属类别。上述标注完成的图像片段被用于构建本次图像数据集。

搜集汇总

背景与挑战

背景概述

该数据集专注于大豆作物中杂草的检测，包含400张无人机拍摄的图像，这些图像经过SLIC算法分割和手动标注类别，用于构建一个基于图像分割的杂草检测数据集，适用于农业计算机视觉研究。