%0 Generic
%A Ci, Jianchao
%A Wang, Xin
%A Rapado Rincon, David
%A Burusa, Akshay Kumar
%A Kootstra, Gert
%D 2024
%T Data underlying the publication: 3D pose of tomato peduncle nodes using deep keypoint detection and point cloud
%U 
%R 10.4121/bca55ad7-da67-408d-a083-01376124f514.v1
%K Deep learning
%K PeduncleKeypoint
%K Point cloud
%K Detectron2
%K Pose estimation
%X <p>This is the dataset used for paper '3D pose of tomato peduncle nodes using deep keypoint detection and point cloud'. The dataset contains 503 train images and 149 test images and their depth images and pose annotations. To test the impact of different view poses for detection results. The images were taken from 5 different angles for each peduncle node.</p>
%I 4TU.ResearchData