June 7, 2019
5 Minute Read
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 ten open source datasets for machine learning and three dataset finders, including one that was featured in the Fine-Grained Visual Categorization (FGVC) workshop at CVPR 2019 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.