Mango Dataset

The dataset consists of 1,025 images of mangoes, distributed across three main folders: Single, Proximal, and Far-Field. Each of these folders is further divided into two subfolders: images and labels. To incorporate diversity in the dataset the following challenges are addressed like environmental variability – lighting conditions, shadowed reflections; tree structure complexity – occlusion and variation in tree architecture; mango morphology; Image quality – distance from mangoes are included

本数据集共包含1025张芒果图像，划分为三个主文件夹：单视角（Single）、近景（Proximal）与远场（Far-Field）。每个主文件夹均进一步分为图像（images）与标注（labels）两个子文件夹。为丰富数据集的多样性，本数据集覆盖了以下多类挑战场景：环境变异性——涵盖光照条件、阴影反射等影响因素；树木结构复杂性——包含遮挡现象与树木构型差异；芒果形态学特征差异；以及图像质量相关的拍摄距离差异问题。

搜集汇总

背景与挑战

背景概述

Mango Dataset包含1,025张芒果图像，分为三个主要类别（Single、Proximal、Far-Field），每个类别包含图像和标签子文件夹，旨在解决环境变化、树结构复杂性等多样性挑战。