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CloudFactory Blog
Struggling with data scarcity for your AI project? High-quality labeling is the answer. This blog explains how precise labels drive AI success in specialized industries.
Quality data labeling fuels infrastructure health. Learn how to achieve ML model accuracy, performance, & scalability to extend asset life.
LiDAR is a useful 3-D object detection technology for many industries, from AV to aerial inspections. Here are 7 interesting applications of LiDAR.
Happy Birthday, Accelerated Annotation! It's been a year of providing clients with the quality training data needed to launch your models fast.
Discover the role of segmentation and mask visualization in computer vision. Learn how these techniques improve machine learning models.
AI innovators who value high-quality data labeling. We help scale data annotation with skilled annotators, predictable pricing, and quick turnaround times.
The AI Summit uncovered the potential of generative AI, with a spotlight on ethical AI, benefits to creatives, and the critical role of humans in the loop.
CloudFactory introduces keypoint and video understanding to Accelerated Annotation data annotation tool.
Experience "Christmas in July" with a ChristmasGAN project. Explore Generative Adversarial Networks, image translation, and creative Christmas touches.
Uncover CVPR 2023 top takeaways, including new roles for humans in the loop, self-supervised learning and zero-shot models, and humans in generative AI.
Get the four top takeaways from CloudFactory’s Maximizing the Value of Your AV data webinar.
Read CloudFactory's insights from ODSC East in Boston, focusing on key trends in generative AI, ethical AI, and HITL (human-in-the-loop) approaches.
Improve industrial inspections using drones. Learn how drone inspections streamline operations, increase safety, and boost efficiency in various industries.
Get the 5 essential takeaways from the CloudFactory and Abyss Solutions AI Innovation in Industrial Asset Management webinar.
The rise of healthcare AI solutions show great promise, but there are still important hurdles to overcome, like data privacy, collection, bias, & accuracy.