V4Design dataset

V4Design project is providing the following four datasets that enable researchers to train classification models for four different visual analysis tasks. Each dataset contains images along with ground truth annotations relevant to the respective task. The images on these datasets were collected using the V4Design Crawling tools, while the annotations were provided from the user partners of the project’s consortium using the VGG[1] and a dedicated annotation tool developed in the framework of the project.

# Dataset Name Description Number of annotations Source of images
1 V4D_Aesthetics Dataset with painting images that are labeled according to their creator and styles. 3045 Europeana Foundation
2 V4D_Emotions Dataset created for the emotion recognition task. It contains paintings, each one of which is linked with tags that show the emotions it evokes. Annotations from multiple persons may exist for each image. 6872 Europeana Foundation
3 V4D_Styles Dataset with images depicting buildings, along with annotations of architectural styles (e.g. Baroque, Romanesque etc.). 9037 Europeana Foundation, Flickr, Wikidata
4 V4D_Facades Dataset with accurately annotated masks from building façades including buildings of various architectural styles presented from several viewing angles. 250 Europeana Foundation, Flickr, Wikidata

 

The datasets are available to the research community under specific terms of use.

In order to provide you part of the V4Design datasets you have to follow the following steps: 

  1. Read the datasets Terms of Use which oblige you, among other things, to:
  • not share this data with anyone else
  • not attempt to identify any of the individuals
  1. Choose which datasets you are going to need in your research.
  2. Prepare a title and a short description (abstract) of your project.
  3. Send us an email (based on the following template) using your institution’s email. In order to grant you access to the data we need it to contain the template statements.
  4. Contact email: spyridons@iti.gr , klearchos_stav@iti.gr , gmeditsk@iti.gr

Before you apply:

  1. Be as specific as possible about why you want each data table.
  2. In the case of undergraduate and postgraduate students, you should ask your supervisor to complete the form below, and mention you as a supervisee. We cannot collaborate with researchers who do not have a full-time academic contract.
  3. If you intend to ask for an alternative collaboration agreement from the default one, explain why you think this is appropriate.
  4. The datasets Terms of Use are serious. Please read them all. If you do not follow them we will require you to delete all V4Design data, and may ask journals to retract any publications from the period when you did not follow them. In extreme cases we will contact university departments where collaborators work.

Email template:

I would like to become a registered collaborator of the V4Design project to pursue the following research:

(INCLUDE THE TITLE AND A SHORT ABSTRACT OF YOUR RESEARCH).

I require access to the following datasets:

(LIST THE TABLES YOU INTEND TO USE FROM THE DOWNLOAD SECTION).

I am planning to use the following variables:

(LIST THE VARIABLES YOU INTEND TO USE AND TELL US HOW DO YOU PLAN DO ANALYSE THEM).

I agree with the V4Design datasets Terms of Use, and will take responsibility for the use of the data by any students in my research group.

I also agree that V4Design can include my name, my position, my institution, and the title of my research topic on its public Web page and other documents. If I cease work on V4Design data, then this collaboration will be listed with an ending date.

I agree that there will be a reference to: Avgerinakis, K., Meditskos, G., Derdaele, J., Mille, S., Shekhawat, Y., Fraguada, L., Lopez, E., Wuyts, J., Tellios, A., Riegas, S., Wachtmeister, J., Doczy, K., Vos, V., Heise, N., Piesk, J., Vergauwen, M., Wanner, L., Vrochidis, S. & Kompatsiaris, I. (2018, October). V4design for enhancing architecture and video game creation. In 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (pp. 305-309). IEEE. https://ieeexplore.ieee.org/document/8699213

Your Name / Position / Institution

[1] https://www.robots.ox.ac.uk/~vgg/software/via/via-2.0.0.html