iMet2021

Overview

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. Can you help find the significant attributes to identify a specific work of art? Help advance this research in this notebook competition.

The online cataloguing information is generated by subject matter experts 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 annotations describe the object from an art history perspective, they can also be indirect in describing finer-grained attributes for 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. This year, we collaborate with the Open Access program from The Art Institute of Chicago (AIC) to host another round of artwork recognition competition. In this competition, The Met will provide the training samples and AIC provides the test. Although the domain shift is not huge, we are expecting to evaluate the transferability of learned models' performances.

Competition

Start Date - 10th March 2021

End Date - 31st May 2021

Kaggle URL - https://www.kaggle.com/c/imet-2021-fgvc8

Organizers

Chenyang Zhang, The Met, Chicago Art Institute