3D-COCO: extension of MS-COCO dataset for image detection and 3D
  reconstruction modules
Maxence Bideaux Alice Phe Mohamed Chaouch Bertrand Luvison Quoc-Cuong Pham
We introduce 3D-COCO, an extension of the original MS-COCO dataset providing
3D models and 2D-3D alignment annotations. 3D-COCO was designed to achieve
computer vision tasks such as 3D reconstruction or image detection configurable
with textual, 2D image, and 3D CAD model queries. We complete the existing
MS-COCO dataset with 28K 3D models collected on ShapeNet and Objaverse. By
using an IoU-based method, we match each MS-COCO annotation with the best 3D
models to provide a 2D-3D alignment. The open-source nature of 3D-COCO is a
premiere that should pave the way for new research on 3D-related topics. The
dataset and its source codes is available at
https://kalisteo.cea.fr/index.php/coco3d-object-detection-and-reconstruction/