11 datasets found

The dataset used in the paper is the LINEMOD and Occlusion LINEMOD datasets, which are used for 6D object pose estimation.

The GBOT dataset is a synthetic dataset designed for 6D object pose/tracking tasks.

The ASDF dataset provides ground truth annotations for 6D object poses and assembly states of 3D printing parts.

The dataset contains six object sequences with multiple instances of the same object with different levels of occlusion.

LINEMOD dataset is a widely used instance-level 6D object pose estimation dataset which consists of 13 different objects with significant shape variation.

NOCS-REAL dataset is the first real-world dataset for category-level 6D object pose estimation. The training set has 4300 real images of 7 scenes with 6 categories. For each...

Dataset for 6D object pose estimation and refinement.

The DPOD dataset is a dataset for 6D object pose estimation.

The PoseCNN dataset is a dataset for 6D object pose estimation in cluttered scenes.

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...

The dataset used for 6D object pose estimation, consisting of images of 16 objects with varying levels of occlusion.