CloudFactory Blog

Quality data is the lifeblood of great computer vision applications. Here are 6 best practices for creating your own custom data sets for computer vision.

Great computer vision applications require a lot of quality visual data. Here's how you can acquire quality data sets for computer vision applications.

Agriculture data is complex. Annotating agtech data often requires help from agronomists. We help Hummingbird Tech overcome that AI product development hurdle.

AI is transforming healthcare; it arms practitioners to make better decisions & fewer errors. Here’s how image annotation in Medical AI makes it possible.

Images and videos are both means to an end to annotate visual data. Each may have its own unique process but in the end individual frames are being annotated on a meta data level. ...

CloudFactory and V7 Labs annotated chest x-rays data sets and trained ML models to identify health issues for COVID-19 research.

Keep these 6 important features of data annotation tools in mind to find the right fit for your AI and machine learning project.

Supervised learning requires a lot of labeled data. Here’s what it takes to design a high-performance data labeling pipeline for machine learning.

Even in uncertain times, you’re swimming in an ocean of data. How you are processing data that powers AI and use that data will determine the future of your business.

Data scientists at Hivemind created 3 data labeling tasks and hired 2 teams to complete them. The differences in data accuracy, speed, and cost may surprise you.

Your in-house data scientists shouldn't be doing tedious data labeling work for machine learning projects. They should be focusing on more important innovation.

Not all outsourced data labeling partners are a good fit for every AI project. Here are 5 things you need to consider before, during, and after vendor evaluations.

Many companies are having to contend with new data security concerns associated with their employees accessing important data from home.

CloudFactory responds to the COVID-19 pandemic with remote access for workers, business continuity for clients, and community service.

No matter how robust your initial training may be, keeping your machine learning models up-to-date is essential. Here are two retraining approaches.

It takes a lot of time and resources to prepare and label data. Learn why outsourcing the data preparation to a managed workforce partner is a good business decision.