GrapesNet: Indian Grape Clusters RGB & RGB-D Image Datasets

There are four different RGB and RGB-D image datasets of grape clusters created in Indian vineyards are proposed in the GrapesNet: 1. Single grape cluster per image with artificial background and single grape cluster per image with real background 2. Multiple clusters per image with real background 3. RGB-D images of vineyard with natural environment 4. Single grape cluster per RGB-D image with some experimental set-ups and artificial environment. All the datasets are taken at Indian vineyard in real environmental conditions with different light conditions, different camera angles and different occlusions to build the reliable and robust deep learning models for the real-time applications. White grapes are considered for creating the GrapesNet because most of the presently available vineyard datasets are on red grapes. Total 11000+ images are included in GrapesNet. It is strong believe that all these datasets are very helpful for training, testing and validating the grape cluster detection and segmentation using various deep learning models.

搜集汇总

背景与挑战

背景概述

GrapesNet是一个专注于印度葡萄园中白葡萄簇的RGB和RGB-D图像数据集，包含四个子集，覆盖单串与多串、人工与真实背景以及自然环境下的图像，总图像数超过11000张。数据采集考虑了不同光照、角度和遮挡条件，旨在支持深度学习模型在葡萄簇检测和分割任务中的训练和验证，弥补了现有数据集中红葡萄为主的不足。