Artstor images now in JSTOR

Image: artstor and jstor logos

JSTOR is a growing digital library that includes multiple types and formats of content. Artstor images have now moved into JSTOR, to create a robust platform for discovering and working with both text and images. Images from Artstor collections can now be found in JSTOR, and JSTOR platform features and functionality have evolved to support work with multiple formats of research materials.

Search JSTOR for images

You can only download if you register for an account, which you'll need to do on campus. After you have an account, you can login from anywhere. More information and help in using JSTOR images.

Digital Collections

There are lots of great online collections that are free and open on the web, many of them on museum websites. Here are a few that may offer some good images of objects related to your research:

Johnson Museum Online

Screenshot of the Johnson Museum of Art homepage

Databases & Collections

The library subscribes to or has built a number of image databases that are excellent sources of images you can download and add to your papers and other projects. You need to keep in mind that some of them have licensing restricts that prohibit the re-publication (including open web publishing, such as on a blog or on social networking sites) of images you download. There are also quite a few digital collections that are free and open on the web. Use the library Visual Resources page for links and information about how best to use ARTstor and other image databases.

Get help with digital images

Screenshot of Visual Resources page from Cornell University Library website

Recommended Databases for Image Discovery

Image: Library of Congress Digital Collections

The Library of Congress has digitized many of its collections, including many photographic collections. There are over 10,000 pictures of Ellis Island, for instance. You would not find these by doing a Google Image search.

Reverse Image Searching

Using TinEye, you can search by image or perform what we call a reverse image search. You can do that by uploading an image or searching by URL. You can also simply drag and drop your images to start your search.

TinEye constantly crawls the web and adds images to its index. Today, the TinEye index is over 52.1 billion images.