8 datasets found

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

The YCB-V dataset contains 21 objects with complex shapes and occlusions.

The LM-O dataset consists of 1214 images and is used as a test dataset for 6DoF object pose estimation. The dataset includes 8 objects with partial occlusion.

The YCB-Video dataset contains 92 videos of 21 objects with varying textures and sizes under cluttered indoor environments.

The LMO dataset is a subset of the LM dataset consisting of eight objects in more cluttered scenes.

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.

The dataset used in the paper for 6Dof object pose estimation using RGB-D images.

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