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ProgressLabeller
A method for generating large customized datasets for object 6D pose estimation, supporting transparent or translucent objects. -
Rigidity Preserving Image Transformations and Equivariance in Perspective
The dataset used in the paper is the LINEMOD and Occlusion LINEMOD datasets, which are used for 6D object pose estimation. -
TRansPose: Large-Scale Multispectral Dataset for Transparent Object
Transparent objects are encountered frequently in our daily lives, yet recognizing them poses challenges for conventional vision sensors due to their unique material properties,... -
YCB-V dataset
The YCB-V dataset is used for testing the class-adaptive object detector. It contains 33 objects with a large number of occurrences. -
Occluded LINEMOD
The dataset used for testing the proposed self-supervised 6D object pose estimation approach. -
Transparent Object Dataset
The TOD dataset is a public stereo object pose estimation dataset that includes about 45,000 stereo images of 15 different objects, along with the ground truth segmentation... -
Transparent Tableware Dataset
The Transparent Tableware Dataset (TTD) is a dataset made available with this paper that includes 600 stereo images of real scenes with some objects positioned in the scene,... -
YCB-Video dataset
The YCB-Video dataset contains 92 videos of 21 objects with varying textures and sizes under cluttered indoor environments. -
LINEMOD-OCCLUSION dataset
The LMO dataset is a subset of the LM dataset consisting of eight objects in more cluttered scenes. -
LINEMOD dataset
The LM consists of 13 objects with approximately 1.2K images per object. We follow the settings described in [2], which uses 15% of the data for training and the rest for testing. -
Occlusion LineMOD
The dataset used in the paper for 6Dof object pose estimation using RGB-D images. -
Trans6D: Transformer-Based 6D Object Pose Estimation and Refinement
Dataset for 6D object pose estimation and refinement. -
BOP Challenge 2022
The BOP Challenge 2022 is the fourth in a series of public challenges that are part of the BOP1 project aiming to continuously report the state of the art in 6D object pose...
