ImagesVideosRGB-D

YCB-Video

Introduced in PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes2017

About this Dataset

The YCB-Video dataset is a large-scale video dataset for 6D object pose estimation. provides accurate 6D poses of 21 objects from the YCB dataset observed in 92 videos with 133,827 frames.

Source: https://rse-lab.cs.washington.edu/projects/posecnn/ Image Source: https://www.researchgate.net/figure/Examples-of-refined-poses-on-the-YCB-Video-dataset-which-use-results-from-PoseCNN-Xiang_fig6_339663565

Source: PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Dataset Variants

YCB-Video

Papers1

PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

This work introduces PoseCNN, a new Convolutional Neural Network for 6D object pose estimation, which is highly robust to occlusions, can handle symmetric objects, and provide accurate pose estimation using only color images as input.

Tasks

EDIT

Pose Estimation 6D Pose Estimation 6D Pose Estimation using RGBD 6D Pose Estimation using RGB Occluded 3D Object Symmetry Detection Symmetry Detection

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