iMetCollection 2019


The Metropolitan Museum of Art in New York, also known as The Met, has a diverse collection of over 1.5M objects of which over 200K have been digitized with imagery. The online cataloging information is generated by Subject Matter Experts (SME) and includes a wide range of data. These include, but are not limited to: multiple object classifications, artist, title, period, date, medium, culture, size, provenance, geographic location, and other related museum objects within The Met’s collection. While the SME-generated annotations describe the object from an art history perspective, they can also be indirect in describing finer-grained attributes from the museum-goer’s understanding. Adding fine-grained attributes to aid in the visual understanding of the museum objects will enable the ability to search for visually related objects.

Competition Details

Checkout the iMet Collection Competition Github repo for the specifics of the dataset and download links. The competition itself is being hosted on Kaggle.

Competition Begins 28 March 2019

Submission Deadline 28 May 2019


Chenyang Zhang, Grace Vesom, Jennie Choi, Maria Kessler, Tallon Loic


Google, The Metropolitan Museum of Art