This is the Linux app named CO3D (Common Objects in 3D) whose latest release can be downloaded as co3dsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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CO3D (Common Objects in 3D)
DESCRIPTION
CO3Dv2 (Common Objects in 3D, version 2) is a large-scale 3D computer vision dataset and toolkit from Facebook Research designed for training and evaluating category-level 3D reconstruction methods using real-world data. It builds upon the original CO3Dv1 dataset, expanding both scale and quality—featuring 2× more sequences and 4× more frames, with improved image fidelity, more accurate segmentation masks, and enhanced annotations for object-centric 3D reconstruction. CO3Dv2 enables research in multi-view 3D reconstruction, novel view synthesis, and geometry-aware representation learning. Each of the thousands of sequences in CO3Dv2 captures a common object (from categories like cars, chairs, or plants) from multiple real-world viewpoints. The dataset includes RGB images, depth maps, masks, and camera poses for each frame, along with pre-defined training, validation, and testing splits for both few-view and many-view reconstruction tasks.
Features
- Large-scale real-world dataset for 3D object category reconstruction
- 2× more sequences and 4× more frames than CO3Dv1
- High-quality images and segmentation masks with improved stability
- Organized into categories with detailed depth, mask, and point cloud data
- Ready-to-use few-view and many-view reconstruction subsets
- Supports CO3D Challenge on EvalAI for standardized evaluation
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/co3d.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
