VGG Annotation Search and Annotator (VASA) is a variation of the VGG Image Annotator (VIA) v2 tool augmented with searching capabilities. VASA runs in a web browser and does not require any installation or setup. The complete VASA software fits in a single self-contained HTML page of size less than 900 Kilobyte that runs as an offline application in most modern web browsers. VASA is an open source project developed at the Visual Geometry Group (VGG) and released under the BSD-2 clause 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/vasa/
Detailed instructions for downloading the VASA software is available at http://www.robots.ox.ac.uk/~vgg/software/vasa/#downloads
Usage examples are described at http://www.robots.ox.ac.uk/~vgg/software/vasa/#Examples, and sample demo packages can be downloaded from http://www.robots.ox.ac.uk/~vgg/software/vasa/#downloads
VASA was created on top of the VGG Image Annotator (VIA) v2 tool. For more information on extending or creating VIA, see: https://gitlab.com/vgg/via/#developers-resources.
If you use this software, please cite it as follows:
@misc{ coto2020vasa,
author = "Coto, E. and Dutta, A. and Zisserman, A.",
title = "{VGG} Annotation Search and Annotator ({VASA})",
year = "2020",
howpublished = "http://www.robots.ox.ac.uk/~vgg/software/vasa/",
note = "Version: X.Y.Z, Accessed: INSERT_DATE_HERE"
}
Please consider citing VIA as well.
Contact Ernesto Coto for any queries or feedback related to this application.
This work is supported by EPSRC programme grant Seebibyte: Visual Search for the Era of Big Data ( EP/M013774/1 )