The go-to for data scientists seeking huge datasets. Thousands of datasets span themes from AI to finance to health, and they ...

A screenshot of mislabeled images from ImageNet, a dataset used to test machine learning systems. In one instance, it applied a "nipple" label to a photo of a baby. The datasets, which have each ...

Github has assembled a wealth of resources for machine learning activities, including a list of the top public domain datasets.

Datasets for Deep Learning 1. MNIST – One of the popular deep learning datasets of handwritten digits which consists of sixty thousand training set examples, and ten thousand test set examples ...

But AI is not only about large data sets, and research in “small data” approaches has grown extensively over the past decade—with so-called transfer learning as an especially promising example.

Datasets in AI and machine learning contain many flaws. Some might be fixable, according to experts -- given enough time and resources.

If the datasets used to train machine-learning models contain biased data, it is likely the system could exhibit that same bias when it makes decisions in practice.