Crop Row Detection Lincoln Dataset version 2 (CRDLDv2)

该数据集包含了代表11种田地变化和43种变化组合的甜菜图像，涵盖了多个生长阶段、光照水平以及杂草密度。这些图像是通过一个前置的英特尔实感D435i RGB-D相机捕获的，并包含了深度帧。每个类别包含25张标记的RGB-D图像。该数据集用于训练深度学习模型，以实现作物行检测的任务。在总共43种组合中，图像数量达到了1125张。

This dataset comprises sugar beet images representing 11 individual field variations and 43 variation combinations, covering diverse growth stages, light levels, and weed densities. All images were captured using a front-mounted Intel RealSense D435i RGB-D camera, and include corresponding depth frames. Each category contains 25 annotated RGB-D images. This dataset is designed for training deep learning models to perform crop row detection tasks. Among the 43 total combinations, the total number of images amounts to 1125.

搜集汇总

背景与挑战

背景概述

Crop Row Detection Lincoln Dataset version 2 (CRDLDv2)是一个包含1125张甜菜田RGB-D图像的数据集，涵盖11种田地变化和43种变化组合，用于训练作物行检测的深度学习模型。数据集特点包括多生长阶段、不同光照条件和杂草密度，所有图像均由英特尔实感D435i相机采集并带有深度帧。