Rishab Mudliar

This week

The project kickoff

Before the coding period began I had previously been working on classification of the Christian icons in the painting. But in order to caption art, we needed a good source. So I had been collecting sources here.

In order to get some idea on how to proceed with the sources collected I contacted my mentor Fred.

Minutes of the meeting.

Attendees - Fred, Marcelo, Rishab, Tiago

License.

One of the problems foreseen by Marcelo was that if our dataset was to be made public then we would have to make sure that the sources we took images from allowed us to actually use their images for research or commercial purposes. Hence I spent some time figuring out whether the sources I had collected were usable or not. Apart from that I also compiled a list of musuems that provide open access to their images. I will be updating as I find more.

Source Link Captions Filtering Size License
Art Institute of Chicago https://www.artic.edu/collection?q=saint Yes Required 50k Creative Commons Zero (CC0)
Belvedere, Austria https://sammlung.belvedere.at/opencontent/images Yes(German) Required Unknown Creative Commons
J. Paul Getty Museum, Los Angeles https://www.getty.edu/art/collection/search?open_content=true&q=Saint Yes Required Unknown Unrestricted and commercial use
Metropolitan Museum of Art, New York https://www.metmuseum.org/art/collection Yes Required 375k Open Access
Minneapolis Institute of Art https://collections.artsmia.org/info/open-access Yes Required 50k CC PDM
National Gallery of Art, Washington, D.C. https://www.nga.gov/open-access-images.html Yes Required 50k Open Access
Smithsonian Institution, Washington, D.C. https://www.si.edu/openaccess/ Yes Required 4.4M Open Access
Yale University https://artgallery.yale.edu/collection/search/saints Yes Required 250k Open Access

Inspecting sources.

One of the points discussed in the meeting was that paintings normally have a lot of elements in them so while collecting sources we should also check whether the description correctly describes the elements of the painting.

Let’s understand this with an example.

p7

This is a random image taken from the Cleveland Musuem of Art that provides open access to 60k images.

If i would look at this image, normally I would say that a mother is holding a baby.

That is normal so why make a painting? Are the agents in the painting someone special? These are the types of questions that our description should answer.

Now if we see the description we observe that the description gives us more insights about the painting. It tells us about the expressions of the agents and who the agents are. It also describes the technique used and it’s similarity to another painting. Hence the description feeds us with a richer understanding of the painting that our naive mind wouldn’t comprehend by just looking at it.

More on this can be found here

The Raw pipeline.

1. Data Curation

curation

2. Tagging

architecture

Next week

Finalizing probably on what sources to take images from and what period.