Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. Snorkel AI wants to make it easier for subject matter ...

You can’t build a good machine learning model without good training data. But building those training sets is hard, often manual work, that involves labeling thousand and thousands of images, for ...

SANTA MONICA, Calif.--(BUSINESS WIRE)--HyperLabel Developer – a full-featured desktop application for creating labeled datasets for Machine Learning (ML) quickly, easily and with complete privacy – is ...

Developers building machine learning or object detection models have to manually label hundreds to thousands of images to train them. To make the task easier, IBM has introduced a new auto-labeling ...

One of Amazon’s most recent announcements was the release of their new tool called Amazon Rekognition Custom Labels. This advanced tool has the capability to improve machine learning on a whole new ...

Spam filtering, face recognition, recommendation engines — when you have a large data set on which you’d like to perform predictive analysis or pattern recognition, machine learning is the way to go.