This is the repository for the 'CADSketchNet' Dataset, associated with the paper "CADSketchNet - An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks"
(2021, Sep 05) The full paper presentation at the 3DOR2021 - 14th EG 3D Object Retrieval Workshop can be viewed here
(2021, Aug 02) Our paper has been awarded The Graphics Replicability Stamp
(2021, July 20) The final published version of the paper is here
(2021, July 03) The paper is accepted for publication in the Special Section on 3DOR2021 - 14th EG 3D Object Retrieval Workshop of the Computers & Graphics Journal. The arxiv version of the paper is available here.
(2021, July 03) This is the repository for the ‘CADSketchNet’ Dataset, associated with the paper ‘CADSketchNet’ - An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks. For further details, contact Bharadwaj Manda via here or here
We introduce the CADSketchNet dataset, an annotated collection of sketches of 3D CAD models.
For further details, contact Bharadwaj Manda via here or here
Download the Dataset-A here
Download the Dataset-B here
Manda, Bharadwaj and Dhayarkar, Shubham and Mitheran, Sai and V.K, Viekash and Muthuganapathy, Ramanathan
This is the arxiv version.
Please cite our paper if you use the CADNET dataset.
@article{MANDA2021100,
title = {‘CADSketchNet’ - An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks},
journal = {Computers & Graphics},
volume = {99},
pages = {100-113},
year = {2021},
issn = {0097-8493},
doi = {https://doi.org/10.1016/j.cag.2021.07.001},
url = {https://www.sciencedirect.com/science/article/pii/S0097849321001333},
author = {Bharadwaj Manda and Shubham Dhayarkar and Sai Mitheran and V.K. Viekash and Ramanathan Muthuganapathy},
keywords = {Retrieval, Search, Dataset, Deep Learning, CAD, Sketch}
}
Bharadwaj Manda, Shubham Dhayarkar, Sai Mitheran, V.K. Viekash, Ramanathan Muthuganapathy, ‘CADSketchNet’ - An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks, Computers & Graphics, Volume 99, 2021, Pages 100-113, ISSN 0097-8493, https://doi.org/10.1016/j.cag.2021.07.001. (https://www.sciencedirect.com/science/article/pii/S0097849321001333)
We are grateful to the teams of ESB and MCB for making their datasets available. Thanks are also due to the many members who have contributed to the CADSketch dataset.
This dataset is licensed under CC BY-NC-SA: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International This license is one of the Creative Commons licenses and allows users to share the dataset only if they (1) give credit to the copyright holder, (2) do not use the dataset for any commercial purposes, and (3) distribute any additions, transformations or changes to the dataset under this same license.