Blog

The latest from Google Research

Introducing the Inclusive Images Competition

jueves, 6 de septiembre de 2018

Posted by Tulsee Doshi, Product Manager, Google AIImageNetOpen ImagesConceptual Captionsfound to be geographically skewedwedding

Wedding photographs (donated by Googlers), labeled by a classifier trained on the Open Images dataset. The classifier’s label predictions are recorded below each image.

Inclusive Images Competition on KaggleConference on Neural Information Processing Systems Competition TrackOpen Images

The three geographical distributions of data in this competition. Competitors will train their models on Open Images, a widely used publicly available benchmark dataset for image classification which happens to be drawn mostly from North America and Western Europe. Models are then evaluated first on Challenge Stage 1 and finally on Challenge Stage 2, each with different un-revealed geographical distributions. In this way, models are stress-tested for their ability to operate inclusively beyond their training data.

Crowdsource project

Examples of labeled images from the challenge dataset. Clockwise from top left, image donation by Peter Tester, Mukesh Kumhar, HeeYoung Moon, Sudipta Pramanik, jaturan amnatbuddee, Tomi Familoni and Anu Subhi

September 5thMonday, November 5thTuesday, November 6thInclusive Images Competition websiteConference on Neural Information Processing Systemsthis pageAcknowledgementsWe would like to thank the following individuals for making the Inclusive Image Competition and dataset possible: James Atwood, Pallavi Baljekar, Parker Barnes, Anurag Batra, Eric Breck, Peggy Chi, Tulsee Doshi, Julia Elliott, Gursheesh Kour, Akshay Gaur, Yoni Halpern, Henry Jicha, Matthew Long, Jigyasa Saxena, Richa Singh and D. Sculley.