Omkar2118/datasets huggingface dataset:
Common Objects in 3D

Common Objects in 3D is a large-scale dataset with real multi-view images of object categories annotated with camera poses and ground truth 3D point clouds. The dataset contains a total of 1.5 million frames from nearly 19,000 videos capturing objects from 50 MS-COCO categories and, as such, it is significantly larger than alternatives both in terms of the number of categories and objects.

Source: [Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction](/paper/common-objects-in-3d-large-scale-learning-and)

Introducing paper: Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction