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Image segmentation best practices: An infographic for business leaders

Image segmentation best practices: An infographic for business leaders

Learn image segmentation best practices for smarter decisions, boosted revenue, and streamlined operations. Our infographic covers the challenges and solutions.

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Navigating the field: Overcoming AI challenges in AgTech

Navigating the field: Overcoming AI challenges in AgTech

Three challenges facing AgTech companies when building AI-driven agriculture solutions for farmers using innovative technologies.

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Win in sports analytics with high-quality data labeling

Win in sports analytics with high-quality data labeling

Say goodbye to data challenges. Learn how investing in high-quality data labeling fuels winning ML models in sports analytics.

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6 ways AI-powered labeling + human experts benefit sports analytics

6 ways AI-powered labeling + human experts benefit sports analytics

The key to faster ROI, lower costs, and new revenue streams in sports analytics is integrating AI-powered data labeling and human expertise.

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How to scale your machine learning data labeling pipeline

How to scale your machine learning data labeling pipeline

Expert strategies for eliminating data bottlenecks, scaling your ML data labeling pipeline, optimizing your workforce, and unlocking faster AI insights.

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Leveraging AI and ML in infrastructure asset inspection and management

Leveraging AI and ML in infrastructure asset inspection and management

Discover the impact of quality data labeling in infrastructure asset management. Learn ML model accuracy, performance, and scalability strategies in asset inspection and ...

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ML models crave clean data — find the right data labeling tool in 2024

ML models crave clean data — find the right data labeling tool in 2024

Find the right ML data labeling tools for your business in 2024. Optimize process, maximize data quality, and boost ROI with expert guidance.

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How business leaders can avoid AI disappointment using tech and people

How business leaders can avoid AI disappointment using tech and people

Learn 5 practical strategies to avoid AI disappointment and achieve success using a combination of technology and human expertise.

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Quality ML data fuels smart infrastructure asset management decisions

Quality ML data fuels smart infrastructure asset management decisions

Quality data labeling fuels infrastructure health. Learn how to achieve ML model accuracy, performance, & scalability to extend asset life.

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7 interesting LiDAR applications

7 interesting LiDAR applications

LiDAR is a useful 3-D object detection technology for many industries, from AV to aerial inspections. Here are 7 interesting applications of LiDAR.

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AI-powered labeling: the key to profitable AI development in agtech

AI-powered labeling: the key to profitable AI development in agtech

How CTOs and VPs of product and machine learning can navigate key agtech hurdles using AI-powered data labeling for sustainable growth and profitability.

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

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

Segmentation labeling can help scale your business. Master pixel-perfect image annotation, tackle challenges, and discover best practices and tools.

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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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