Skip to main content
  • Home
  • Development
  • Documentation
  • Donate
  • Operational login
  • Browse the archive

swh logo
SoftwareHeritage
Software
Heritage
Archive
Features
  • Search

  • Downloads

  • Save code now

  • Add forge now

  • Help

https://github.com/bharadwaj-manda/CADSketchNet
12 September 2023, 15:25:01 UTC
  • Code
  • Branches (2)
  • Releases (0)
  • Visits
    • Branches
    • Releases
    • HEAD
    • refs/heads/gh-pages
    • refs/heads/main
    No releases to show
  • 70fe78d
  • /
  • README.md
Raw File Download
Take a new snapshot of a software origin

If the archived software origin currently browsed is not synchronized with its upstream version (for instance when new commits have been issued), you can explicitly request Software Heritage to take a new snapshot of it.

Use the form below to proceed. Once a request has been submitted and accepted, it will be processed as soon as possible. You can then check its processing state by visiting this dedicated page.
swh spinner

Processing "take a new snapshot" request ...

Permalinks

To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.

  • content
  • directory
  • revision
  • snapshot
origin badgecontent badge Iframe embedding
swh:1:cnt:0025e8e7233463e142d958f3badbd86c9ea9510f
origin badgedirectory badge Iframe embedding
swh:1:dir:70fe78dd36e9d853dfcbed41538e3afe0c6bc79b
origin badgerevision badge
swh:1:rev:d2f9cf33b0924c45eb32020f4de3eab53253ed9b
origin badgesnapshot badge
swh:1:snp:a4af9be74900eeadd2c038e3c400fc522ecb6b36
Citations

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
Select below a type of object currently browsed in order to generate citations for them.

  • content
  • directory
  • revision
  • snapshot
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Tip revision: d2f9cf33b0924c45eb32020f4de3eab53253ed9b authored by Bharadwaj Manda on 21 October 2021, 07:36:42 UTC
Update README.md
Tip revision: d2f9cf3
README.md
<samp>

# CADSketchNet - An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks
	
</samp>

<div align="center">

<span> <a href="bharadwaj-manda.github.io/">Bharadwaj Manda</a></span>,
<span> <a href="https://www.linkedin.com/in/shubham-dhayarkar-a16a75153/?originalSubdomain=in">Shubham Dhayarkar</a></span>,
<span> <a href="https://smj007.github.io/">Sai Mitheran</a></span>,
<span> <a href="https://vkviekash-homepage.github.io/">Viekash V K</a></span>,
<span> <a href="https://ed.iitm.ac.in/~raman/">Ramanathan Muthuganapathy</a></span>

	
</div>

---

[Project Page](https://bharadwaj-manda.github.io/CADSketchNet/)


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.

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"](https://www.sciencedirect.com/science/article/pii/S0097849321001333). The paper is accepted for publication in the Special Section on [3DOR2021 - 14th EG 3D Object Retrieval Workshop](https://3dor2021.github.io/index.html) of the [Computers & Graphics](https://www.journals.elsevier.com/computers-and-graphics) Journal. The arxiv version of the paper is available [here](https://arxiv.org/pdf/2107.06212.pdf). The final published version of the paper is [here](https://www.sciencedirect.com/science/article/pii/S0097849321001333).

- The CADSketchNet dataset 
	- Dataset-A has 58,696 computer-generated sketches of the 3D CAD models across 68 categories of [MCB](https://mechanical-components.herokuapp.com/)
	- Dataset-B has 801 hand-drawn sketches of the 3D CAD models across 42 categories of [ESB](https://engineering.purdue.edu/cdesign/wp/downloads/)

- *Few images from the Dataset-A (computer-generated sketches) have some missing lines and features. We are currently in the process of cleaning up these sketches. An updated version will be released soon.*

For further details, contact Bharadwaj Manda via [here](https://www.linkedin.com/in/bharadwaj-manda-9730ab114/) or [here](https://bharadwaj-manda.netlify.app/)

## Download

Download the Dataset-A [here](https://drive.google.com/file/d/1kH6Bpt6IWIEOZxcu1vVBK9Bd9WG84kTk/view?usp=sharing)
- Click [here](https://drive.google.com/file/d/1ZUaO4iKDTjz7j9LDSNW8_qpFpqHpDil2/view?usp=sharing) to download the 80-20 train-test split used in the paper

Download the Dataset-B [here](https://drive.google.com/file/d/10XRLO7T58Lq54YtL7wX3CJ1VpsFUo2nW/view?usp=sharing)


## To cite this Dataset or Paper:

- Use the bibtex below:

```bibtex
@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}
}
```

- Or use the plain text below

---

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)

---

*Thanks are due to the many volunteers who have contributed to the dataset.*

Software Heritage — Copyright (C) 2015–2025, The Software Heritage developers. License: GNU AGPLv3+.
The source code of Software Heritage itself is available on our development forge.
The source code files archived by Software Heritage are available under their own copyright and licenses.
Terms of use: Archive access, API— Contact— JavaScript license information— Web API

back to top