CanopyRS/QuebecTrees

QuebecTrees数据集是一个经过预处理的树木数据集，用于在SelvaBox论文中的研究。数据集包含了图像的高度、宽度、折叠信息、栅格名称、位置、图像本身、瓦片名称和注释信息等特征。注释信息中包含了树木的边界框、区域、是否为群体等信息。数据集分为训练集、验证集和测试集三部分。The QuebecTrees dataset is a pre-processed dataset of trees, used for research in the SelvaBox paper. It includes features such as image height, width, fold information, raster name, location, the image itself, tile name, and annotation information. The annotation information contains details like tree bounding boxes, area, iscrowd, etc. The dataset is split into three parts: training set, validation set, and test set.

搜集汇总

背景与挑战

背景概述

QuebecTrees数据集是一个用于树木检测的预处理数据集，基于SelvaBox论文研究。它包含图像、注释（边界框、区域、群体信息）等特征，并划分为训练集、验证集和测试集，适用于树木识别任务。