Skip to main content

Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[P] CIFAR-10H – Human guess distribution soft labels for CIFAR-10 (Dataset Release)

CIFAR-10H is a new dataset of soft labels reflecting human perceptual uncertainty for the 10,000-image CIFAR-10 test set, which we are releasing today. It first appears in the paper:

Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths, & Olga Russakovsky (2019). Human uncertainty makes classification more robust. In Proceedings of the IEEE International Conference on Computer Vision. https://arxiv.org/abs/1908.07086

Dataset Link: https://github.com/jcpeterson/cifar-10h/

submitted by /u/joshuacpeterson
[link] [comments]