TimberSeg 1.0

The TimberSeg 1.0 dataset is composed of 220 images showing wood logs in various environments and conditions in Canada. The images are densely annotated with segmentation masks for each log instance, as well as the corresponding bounding box and class label. This dataset aim towards enabling autonomous forestry forwarders, therefore it contains nearly 2500 instances of wood logs from an operators' point-of-view. Images were taken in the forest, near the roadside, in lumberyards and above timber-filled trailers. The logs were annotated considering a grasping perspective, meaning that only the logs above the piles and accessible are segmented.TimberSeg 1.0数据集（TimberSeg 1.0）由220张图像组成，这些图像展示了加拿大境内不同环境与工况下的原木。所有图像均针对每一个原木实例完成了密集标注，涵盖分割掩码（segmentation mask）、对应边界框（bounding box）与类别标签（class label）。本数据集旨在支撑自主林业集运机的研发，因此其包含近2500个原木实例，采集视角均取自操作人员的视野。图像的采集场景涵盖森林、路边、木材堆场以及装载原木的拖车上方。标注过程以抓取作业视角为基准，即仅对堆垛上方且可被抓取的原木进行分割标注。

搜集汇总

背景与挑战

背景概述

TimberSeg 1.0是一个包含220张图像、约2500个原木实例的计算机视觉数据集，专注于加拿大林业环境中的原木分割，标注包括实例分割掩码、边界框和类别标签。该数据集旨在支持自主林业运输车的开发，图像从操作员视角拍摄，涵盖森林、路边、木材场和拖车等多种场景，并基于抓取视角仅标注堆叠上方可接触的原木。