16 datasets found

A dataset for training a Neural Sparse Voxel Fields (NSVF) model, containing 3D images of objects.

Scanned objects dataset

Abo: Dataset and benchmarks for real-world 3D object understanding

SmallNORB dataset

A dataset of 85 eyeglasses frames under different viewpoints and fixed illumination.

The dataset used in this paper for 3D point cloud classification and adversarial example generation.

Zhou et al. (2023) - Sparsefusion

Common Objects in 3D (CO3Dv2)

The dataset used in this paper for multi-sensor next-best-view planning as matroid-constrained submodular maximization.

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

Shapenet is a large-scale synthesis 3D object dataset, where we follow [9] to use the official test splits of chair, car, and motorbike categories for evaluation since they...

Google Scanned Object dataset contains 3D scanned household items.

The Objaverse dataset contains around 800k 3D objects. After adopting simple filter leveraging CLIP [27] to remove the objects whose rendered images are not relevant to its...

Common Objects in 3D: Large-scale learning and evaluation of real-life 3D category reconstruction

Google Scanned Objects is a real-scanned 3D object dataset and we use all its 1030 samples for evaluation unlike existing works [29, 31] that only use 30 of them.

A large-scale dataset of 3D objects for training and testing 3D reconstruction models.