Uncover the four layers of automated data labeling—pre-labeling, pre-trained models, hosting, and technology—to achieve faster and smarter AI goals.
This blog post uses Maslow's hierarchy of needs to illustrate how business leaders can build a machine learning (ML) solution foundation.
ML models need a foundation of data, annotation, and optimization to succeed. Learn how with a technical spin on Maslow's hierarchy of needs.
AI innovators who value high-quality data labeling. We help scale data annotation with skilled annotators, predictable pricing, and quick turnaround times.
CloudFactory introduces keypoint and video understanding to Accelerated Annotation data annotation tool.
Even as companies shift from a model-centric to a data-centric AI focus, humans in the loop remain critical in accelerating AI development.
These 4 use cases examine why using drones to collect data makes industrial inspections safer, more accurate, and more efficient than manual inspections.
Learn the five most common pitfalls in data labeling and proven tips on how to avoid them from the experts at CloudFactory.
We’ve integrated Meta AI’s Segment Anything Model (SAM) into our Accelerated Annotation product to deliver precise segmentation at unprecedented speeds.
Get the 5 essential takeaways from the CloudFactory and Abyss Solutions AI Innovation in Industrial Asset Management webinar.
Meet Accelerated Annotation – a Vision AI product that blends AI-assisted labeling & humans to give you accurate data labels efficiently & quickly.
Looking back on CloudFactory’s investments in tech and people in 2022 with gratitude as we build, invest, and grow to set our clients up for success in 2023.
LiDAR is a useful technology for several industries, from autonomous vehicles to aerial inspections. Here are seven interesting applications of LiDAR.
See how insurance carriers and insurtechs are reducing risk, optimizing sales, and improving claims with AI, automation, and machine learning.
Interview recap: CUAV News asks CloudFactory about LineVision, industrial asset management, aerial inspection, and high-quality drone data processing
Learn how Driver's dashcam app, Tesla's neural rendering, and NC State's MonoCon technology use 2-D visual data instead of LiDAR to train AV models.