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

Published: 20 January 2023| Version 1 | DOI: 10.17632/mhzmzd5cwx.1
Dhanashree Barbole,


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.



Machine Learning, Industrial Agriculture, Precision Agriculture, Deep Learning


Department of Science and Technology, Ministry of Science and Technology, India