It turns out that data labeling can take up to 80% of the resources in the average ML project. It’s also a big source of failure: 70% of companies report having problems labeling their data. To ...

Today Google announced a new labeled data set of human actions taking place in videos. That may sound obscure, but it's a big deal for anyone working to solve problems in computer vision.

A new technical paper titled “Semi-Supervised Learning with Wafer-Specific Augmentations for Wafer Defect Classification” was published by researchers at Korea University. Abstract “Semi-supervised ...

But using Instagram images that are already labeled by way of hashtags, Facebook was able to collect relevant data and use it to train its computer vision and object recognition models.