甜椒果实和果梗识别算法数据集

甜椒果实和果梗识别算法数据集是从河北省张家口大棚甜椒种植现场和鞍山市海城三星生态农业植物工厂中采集的甜椒数据集，数据集从不同光照，不同时间和不同远近对数据进行了采集，采集的数据集图片分辨率分别为640*480和1280*720两种，数据集大小为14.23MB。数据集图片中包括了甜椒果实以及甜椒果梗。我们利用笔记本电脑和RealSense D435i深度相机对图片进行了采集。我们在笔记本电脑上安装ubuntu18.04系统和ROS机器人操作系统，并编写相应的程序打开摄像头自动进行图片的拍摄和保存。分别采集了不同分辨率的图片数据集。该数据可供研究人员研究甜椒果实和甜椒果梗识别算法，可以充当数据集验证识别算法的有效性。

The Sweet Pepper Fruit and Pedicel Recognition Algorithm Dataset is a collection of sweet pepper images acquired from greenhouse sweet pepper planting sites in Zhangjiakou, Hebei Province and Haicheng Samsung Ecological Agricultural Plant Factory in Anshan. The data were collected under varying lighting conditions, at different time periods and from different distances. The acquired images have two resolution specifications: 640×480 and 1280×720, and the total size of the dataset is 14.23 MB. The images in the dataset contain both sweet pepper fruits and their pedicels. The image capture was conducted using a laptop and a RealSense D435i depth camera. The laptop was installed with Ubuntu 18.04 and the Robot Operating System (ROS), and custom programs were written to automatically capture and save images via the camera, with datasets of different resolutions collected separately. This dataset is available for researchers to study sweet pepper fruit and pedicel recognition algorithms, and can be used as a validation dataset to test the effectiveness of recognition algorithms.

搜集汇总

背景与挑战

背景概述

该数据集包含从河北省张家口和鞍山市海城采集的甜椒果实和果梗图片，分辨率为640*480和1280*720，总大小为14.23MB。数据集用于研究甜椒果实和果梗识别算法，验证算法的有效性。