Artificial intelligence is a double-edged sword--on one hand, homes are smarter, health tech is advancing at rapid pace, and driverless vans will soon deliver your groceries.
On the other hand, privacy violations, discrimination and a whole host of effects not yet known or experienced give pause to these technologies.
Confronting the risks of AI begins with facing your data difficulties, including ingesting high-quality data before sorting, linking and programming even occurs.
Here are eight open source datasets for machine learning and three dataset finders, including one that will be featured in the Fine-Grained Visual Categorization (FGVC) workshop at CVPR on June 17.
This is just a small sample of the free, open source datasets that are available for machine learning use cases. If you have a dataset or dataset finder you’d like to add, leave a comment and let us know.
Sharon is the Content Marketing Manager at Samasource where she's responsible for telling the story behind the company's impact sourcing mission and human-powered training data solutions. Sharon holds a MS in Integrated Marketing Communications and is passionate about helping social enterprises transform abstract concepts into results-driven marketing.