multimodal.qmd

# Multimodal {#part-methods .unnumbered}

The scripts in this section show how to use multimodal
models to work with images. As an example, we use a small set
of images from the FSA-OWI collection. If you are running the
code on your own, you can use any of the following:

- **The Met Open Collections** (met): Highlighted oil paintings
from the many images of art works released under a public domain
license by the the Metropolitan Museum of Art.
[[more info](https://www.metmuseum.org/art/collection/search?showOnly=openAccess)]
- **USDA Pomological Watercolors** (usda): A selection of watercolors
produced the USDA to document all known fruit varieties.
[[more info](https://search.nal.usda.gov/discovery/collectionDiscovery?vid=01NAL_INST:MAIN&collectionId=81279629860007426)]
- **FSA-OWI Archive** (fsaowi): A selection of images from the
photographic collection documenting life in the United States during
the Great Depression and the Second World War.
[[more info](https://photogrammar.org/)]
- **Women: What to Tell Children** (women-still): Still images from
the shots detected in the 12th episode of the television show Women.
Produced by WNED, a PBS member television station in Buffalo, New York,
United States.
[[more info](https://americanarchive.org/catalog/cpb-aacip-81-03qv9szv)]
- **Documerica** (documerica): Selection of photographs produced by
the U.S. Environmental Protection Agency (EPA) in an effort to improve
the health of the environment and American citizens.
[[more info](https://digitaldocumerica.org/)]
- **ImageNet Large Scale Visual Recognition Challenge (ILSVRC)** (imagenet):
One example image from each of the 1000 categories used in the ILSVRC competition.
[[more info](https://image-net.org/challenges/LSVRC/)]
- **Microsoft COCO: Common Objects in Context** (mscoco): One example image
from each of the categories in the Microsoft COCO computer vision challenge.
[[more info](https://cocodataset.org/#home)]

To get results in your browser for all of these collections 
and your own data, see the
[Distant Viewing Explorer](https://distant-viewing.github.io/dvgui-demo).