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.
Open Speech and Language Resources
Self Driving Demo
A dataset by comma.ai that includes over 33 hours of commute in California's 280 highway.
Sentiment140 allows you to discover the sentiment of a brand, product, or topic on Twitter.
A subset of the ImageNET dataset created by the Stanford CS231n course. It spans 200 image classes with 500 training examples per class. It also has 50 validation and 50 test examples per class.