TY - DATA
T1 - Data underlying the publication: 3D pose of tomato peduncle nodes using deep keypoint detection and point cloud
PY - 2024/12/13
AU - Jianchao Ci
AU - Xin Wang
AU - David Rapado Rincon
AU - Akshay Kumar Burusa
AU - Gert Kootstra
UR - 
DO - 10.4121/bca55ad7-da67-408d-a083-01376124f514.v1
KW - Deep learning
KW - PeduncleKeypoint
KW - Point cloud
KW - Detectron2
KW - Pose estimation
N2 - <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>
ER -