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# VGG Image Annotator

VGG Image Annotator is a simple and standalone manual annotation software for
image, audio and video. VIA runs in a web browser and does not require any
installation or setup. The complete VIA software fits in a single
self-contained HTML page of size less than 400 Kilobyte that runs as an offline
application in most modern web browsers. VIA is an [open
source](https://gitlab.com/vgg/via) project based solely on HTML, Javascript
and CSS (no dependency on external libraries). VIA is developed at the [Visual
Geometry Group](http://www.robots.ox.ac.uk/~vgg/) (VGG) and released under the
BSD-2 clause [license](https://gitlab.com/vgg/via/blob/master/LICENSE) which
allows it to be useful for both academic projects and commercial applications.

More details are available at: http://www.robots.ox.ac.uk/~vgg/software/via/

## Screenshots
<a href="http://www.robots.ox.ac.uk/~vgg/software/via/via_demo.html" target="_blank"><img src="via-2.x.y/doc/screenshots/via_demo_screenshot2_via-2.0.2.jpg" alt="Screenshot showing basic image annotation" title="Screenshot showing basic image annotation" height="370"></a>
<a href="http://www.robots.ox.ac.uk/~vgg/software/via/demo/via_video_annotator.html" target="_blank"><img src="via-3.x.y/doc/screenshots/via_video_annotator.png" alt="Temporal segments showing different human activities (e.g. break egg, pour liquid, etc.) and spatial regions (e.g. bounding box of cup) occupied by different objects in a still video frame are manually delineated in a video showing preparation of a drink." title="Temporal segments showing different human activities (e.g. break egg, pour liquid, etc.) and spatial regions (e.g. bounding box of cup) occupied by different objects in a still video frame are manually delineated in a video showing preparation of a drink." height="370"></a>
<a href="http://www.robots.ox.ac.uk/~vgg/software/via/demo/via_audio_annotator.html" target="_blank"><img src="via-3.x.y/doc/screenshots/via_audio_annotator.png" alt="Speech segments of two individuals is manually delineated in an audio recording of conversation between ATC and pilot" title="Speech segments of two individuals is manually delineated in an audio recording of conversation between ATC and pilot" height="370"></a>
<a href="http://www.robots.ox.ac.uk/~vgg/software/via/via_face_demo.html" target="_blank"><img src="via-2.x.y/doc/screenshots/via_face_demo_screenshot4.jpg" alt="Screenshot of VIA being used for face annotation" title="Screenshot of VIA being used for face annotation" height="370"></a>
<a href="http://www.robots.ox.ac.uk/~vgg/software/via/docs/face_track_annotation.html" target="_blank"><img src="via-2.x.y/doc/screenshots/via_face_track_demo_screenshot1.jpg" alt="Screenshot of VIA being used for face track annotation" title="Screenshot of VIA being used for face track annotation" height="370"></a>

## Download
Detailed instructions for downloading the VIA software is available at
http://www.robots.ox.ac.uk/~vgg/software/via/

## Demo
We have created self-contained demo to illustrate the usage of VIA. These demo
have been preloaded with some sample images, audio and video. Furthermore, we
have also added some sample manual annotations. These demo applications are
very useful to get familiar with the commonly used features of VIA.
  * [Basic Image Annotation Demo](http://www.robots.ox.ac.uk/~vgg/software/via/via_demo.html)
  * [Face Annotation Demo](http://www.robots.ox.ac.uk/~vgg/software/via/via_face_demo.html)
  * [Remote Image Annotation Demo](http://www.robots.ox.ac.uk/~vgg/software/via/via_wikimedia_demo.html)
  * [Face Track Annotation Demo](http://www.robots.ox.ac.uk/~vgg/software/via/docs/face_track_annotation.html)
  * [Video Annotator Demo](http://www.robots.ox.ac.uk/~vgg/software/via/demo/via_video_annotator.html)
  * [Audio Annotator Demo](http://www.robots.ox.ac.uk/~vgg/software/via/demo/via_audio_annotator.html)

## Open Source Ecosystem
The development of VIA software began in August 2016 and the first public
release of version 1 was made in April 2017. Many new advanced features for
image annotation were introduced in version 2 which was released in June 2018.
Recently released version 3 of VIA software supports annotation of audio and
video. As of July 2019, the VIA software has been used more than 1,000,000
times (+220,000 unique pageviews).

We have nurtured a large and thriving open source community which not only
provides feedback but also contributes code to add new features and improve
existing features in the VIA software. The open source ecosystem of VIA thrives
around its [source code repository](https://gitlab.com/vgg/via) hosted by the
Gitlab platform. Most of our users report issues and request new features for
future releases using the [issue portal](https://gitlab.com/vgg/via/issues).
Many of our users not only submit bug reports but also suggest a potential fix
for these software issues. Some of our users also contribute code to add new
features to the VIA software using the [merge request
portal](https://gitlab.com/vgg/via/merge_requests).

We welcome all forms of contributions (code update, documentation, bug reports,
etc) from users. Such contributions must must adhere to the existing
[license](https://gitlab.com/vgg/via/blob/master/LICENSE) of the VIA project.

## Developer's Resources
VIA software is developed using HTML, CSS and Javascript and is based solely on
standard features available in modern web browsers. VIA does not depend on any
external libraries. These design decisions has helped us create a very
lightweight and feature rich manual annotation software that can run on most
modern web browsers without requiring any installation or setup. The full VIA
software sprouted from an [early
prototype](http://www.robots.ox.ac.uk/~vgg/software/via/via-0.0.1.txt) of VIA
which implemented a minimal -- yet functional -- image annotation tool using
only 40 lines of HTML/CSS/Javascript code that runs as an offline application
in most modern web browsers. This early prototype provides a springboard for
understanding the current codebase of VIA which is just an extension of the
early prototype. The [introductory
tutorials](https://developer.mozilla.org/en-US/docs/Web/HTML) prepared by
Mozilla is also very helpful in understanding the basic concepts of
HTML/CSS/Javascript platform.

The VIA source code repository contains a separate folder for each major
version of VIA: [via-1.x.y](via-1.x.y/), [via-2.x.y](via-2.x.y/) and
[via-3.x.y](via-3.x.y/). The development of each version is carried out in the
`master` branch. If you wish to contribute code to VIA (we encourage you to do
so), please send a pull request.  All contributions must adhere to the existing
[license](LICENSE) of the VIA project.

We have prepared the following code documentation for each major version of VIA:
 * [Code Documentation for via-1.x.y](https://gitlab.com/vgg/via/blob/master/via-1.x.y/CodeDoc.md)
 * [Code Documentation for via-2.x.y](https://gitlab.com/vgg/via/blob/master/via-2.x.y/CodeDoc.md)
 * [Code Documentation for via-3.x.y](https://gitlab.com/vgg/via/blob/master/via-3.x.y/CodeDoc.md)

[Code review of via-1.0.0](https://gitlab.com/vgg/via/issues/54) was completed
by @ecoto in Feb. 2017. Please [let us
know](https://gitlab.com/vgg/via/issues/152) if you would like to contribute to
VIA project by reviewing its software code. Here are some updates on this
issue:
 * 16 July 2019: [Ben
 * Armstrong](https://gitlab.com/vgg/via/issues/152#note_187568262) is now
 * conducting a code review of
 * [via-2.x.y](https://gitlab.com/vgg/via/tree/master/via-2.x.y) codebase.

## Citation
If you use this software, please cite it as follows:

<cite>Abhishek Dutta and Andrew Zisserman. 2019. <a href="docs/dutta2019vgg_arxiv.pdf">The VIA Annotation Software for Images, Audio and Video</a>. In Proceedings of the 27th ACM International Conference on Multimedia (MM ’19), October 21–25, 2019, Nice, France. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3343031.3350535</cite>.

```
@inproceedings{dutta2019vgg,
  author = {Dutta, Abhishek and Zisserman, Andrew},
  title = {The {VIA} Annotation Software for Images, Audio and Video},
  booktitle = {Proceedings of the 27th ACM International Conference on Multimedia},
  series = {MM '19},
  year = {2019},
  isbn = {978-1-4503-6889-6/19/10},
  location = {Nice, France},
  numpages = {4},
  url = {https://doi.org/10.1145/3343031.3350535},
  doi = {10.1145/3343031.3350535},
  publisher = {ACM},
  address = {New York, NY, USA},
}

@misc{dutta2016via,
  author = "Dutta, A. and Gupta, A. and Zissermann, A.",
  title = "{VGG} Image Annotator ({VIA})",
  year = "2016",
  howpublished = "http://www.robots.ox.ac.uk/~vgg/software/via/",
  note = "Version: X.Y.Z, Accessed: INSERT_DATE_HERE"
}
```

## Contact
Contact [Abhishek Dutta](adutta_remove_me_@robots.ox.ac.uk) for any queries or
feedback related to this application.

## Acknowledgements
This work is supported by EPSRC programme grant Seebibyte: Visual Search for
the Era of Big Data ( [EP/M013774/1](http://www.seebibyte.org/index.html) )