Jobs and notebooks have access to a read-only directory that is mounted at
/datasets. This directory includes the following public datasets (with many more to come).
Name & Path
Paperspace's Fast.ai template is built for getting up and running with the enormously popular Fast.ai online MOOC called Practical Deep Learning for Coders.
CelebFaces Attributes Dataset (CelebA) is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations.
Contains around one million labeled images for each of 10 scene categories and 20 object categories.
The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples
COCO is a large-scale object detection, segmentation, and captioning dataset.
Selfie dataset contains 46,836 selfie images annotated with 36 different attributes divided into several categories.
StyleGan is a Style-Based Generator Architecture for Generative Adversarial Networks. This dataset allows for photographs of people to be produced by the generator that allows control over different aspects of the image