相关数据集
fhswf/COCO-WB133-Quaternion-Mapping-Dataset
WholeBody3D-to-AvatarPose数据集是一个合成数据集，旨在学习从3D全身姿势估计输出到以四元数表示的虚拟角色关节旋转的映射。其主要目标是训练能够将COCO WholeBody（133个关键点）3D关节坐标转换为物理上合理的虚拟角色姿势的模型，适用于实时动画、手语虚拟角色和具身代理。数据集包含无噪声的3D关节位置和精确的地面真实关节旋转，通过Blender合成生成。数据格式包括J
Hugging Face2026-01-20 更新180
Base images for 360 degrees panorama with camera poses
This dataset presents base images for 360 degrees image construction through stitching. The HD resolution base images are already undistorted. This dataset is meant for 360 degrees panorama generation
Mendeley Data2024-03-27 更新130
eyelids_pupils_v1.zip
DLC model weights for eyelid and pupil estimation
DataCite Commons2022-03-28 更新70
Robotic Grasping Based on 6D Pose Estimation from Single View
In real-world scenarios, the diversity of object types and random placement can lead to difficulties in object recognition for intelligent robots, resulting in a low success rate in grasping. A metho
DataCite Commons2025-04-27 更新160
Basic concept of the position estimation algorithm.
A. The strategy of the position estimation. To estimate the positions of body parts (shown as cross marks), the skeleton model of a rat (shown in red) is physically fitted into the 3D hull of a rat (s
NIAID Data Ecosystem90
