Accelerated Annotation: 1 year of data labeling excellence

Accelerated Annotation: 1 year of data labeling excellence

Happy Birthday, Accelerated Annotation! It's been a year of providing clients with the quality training data needed to launch your models fast.

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Four workforce traits that affect quality in data labeling for ML

Four workforce traits that affect quality in data labeling for ML

Learn the four workforce traits crucial for high-quality ML datasets. Avoid costly rework and boost your AI project's success.

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Five modern segmentation challenges tech gurus face in machine learning

Five modern segmentation challenges tech gurus face in machine learning

Explore the key machine learning segmentation challenges and how to overcome them for more accurate model performance.

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Achieving business goals: The role of segmentation labeling in computer vision

Achieving business goals: The role of segmentation labeling in computer vision

Discover the role of segmentation and mask visualization in computer vision. Learn how these techniques improve machine learning models.

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Ensure better quality data with vision transformer-powered data labeling

Ensure better quality data with vision transformer-powered data labeling

Discover the power of Vision Transformers (ViTs) in data labeling. Learn how ViT models outperform CNNs, ensuring superior image classification and segmentation.

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Active learning: tackling ML data annotation challenges

Active learning: tackling ML data annotation challenges

This post discusses accelerating AI development with active learning, a machine learning method that prioritizes the most informative data for labeling.

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Supercharge Vision AI projects with foundation models

Supercharge Vision AI projects with foundation models

Discover the power of foundation models for Vision AI. Supercharge your workflow, save time, and boost performance.

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Top benefits and limitations of auto labeling

Top benefits and limitations of auto labeling

Overcome the most common limitations of automated data labeling and maximize its benefits using humans in the loop and the right annotation platform.

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Building a machine learning solution foundation: For business leaders

Building a machine learning solution foundation: For business leaders

This blog post uses Maslow's hierarchy of needs to illustrate how business leaders can build a machine learning (ML) solution foundation.

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Building a machine learning solution foundation: For technical leaders

Building a machine learning solution foundation: For technical leaders

ML models need a foundation of data, annotation, and optimization to succeed. Learn how with a technical spin on Maslow's hierarchy of needs.

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Top AI innovators who value high-quality data labeling

Top AI innovators who value high-quality data labeling

AI innovators who value high-quality data labeling. We help scale data annotation with skilled annotators, predictable pricing, and quick turnaround times.

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Building a ChristmasGAN (in July!)

Building a ChristmasGAN (in July!)

Experience "Christmas in July" with a ChristmasGAN project. Explore Generative Adversarial Networks, image translation, and creative Christmas touches.

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4 webinar takeaways: maximizing the value of your AV data

4 webinar takeaways: maximizing the value of your AV data

Get the four top takeaways from CloudFactory’s Maximizing the Value of Your AV data webinar.

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3 Essentials for Your NLP Data Workforce

3 Essentials for Your NLP Data Workforce

Natural language processing (NLP) is a fast-growing AI technology, but data labeling for NLP is complex. Here is what to look for in an NLP data workforce.

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4 ways CloudFactory helps you achieve your AV safety goals faster

4 ways CloudFactory helps you achieve your AV safety goals faster

Find out how our AV-centric workforce can help you achieve your safety goals faster, then download our guide to optimizing your AV data pipelines.

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Did a Robot Pack Your Last Retail Order?

Did a Robot Pack Your Last Retail Order?

Packing robots are helping retailers overcome the challenges of constantly increasing demand & staff shortages, but bringing them to life is no easy task.

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