FruitNet and FruitBox Dataset Dataset

The authors separate datasets were compiled: FruitNet and FruitBox Dataset. They proposed an interlaced deep neural framework that aids in the accurate qualitative (freshness—good/bad) and quantitative (weights in kilograms) predictive analysis of tropical fruits and their origin in wholesale and retail fruit boxes.

作者们分别编制了数据集：FruitNet 和 FruitBox Dataset。他们提出了一种交错式深度神经网络框架，该框架有助于对热带水果及其在批发和零售水果箱中的来源进行精确的定性（新鲜度—优良/劣质）和定量（重量以千克为单位）预测分析。

搜集汇总

背景与挑战

背景概述

FruitNet and FruitBox Dataset是一个包含2509张图像的目标检测数据集，涵盖7个类别的水果和水果箱标注，部分图像附带重量信息。该数据集旨在支持水果新鲜度和重量的自动化预测分析，由印度喀拉拉大学于2023年发布。